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Position: retention marketing expert location: remote latam working hours: 40 hrs per week, 8 am. 5 pm pst salary range: competitive salary we are seeking a true klaviyo expert who can single-handedly manage and optimize our entire retention marketin...
About addi we are a leading financial platform, building the future of payments, shopping, and banking—a world where consumers and merchants can transact effortlessly, grow together and where we create abundance and generate pride in them. today, we serve over 2 million customers and partner with more than 20,000 merchants, making addi colombia’s fastest-growing marketplace. we provide banking solutions (deposits, payments, unsecured credit) and commerce services (e-commerce, marketing) using state-of-the-art technology, bridging the financial gap for millions and redefining how people experience financial freedom. as the country’s leading buy now, pay later provider, we have secured regulatory approval to operate as a bank, unlocking even greater opportunities for our customers. in the past year, we have also achieved profitability, reinforcing the strength of our business model and our ability to scale sustainably. our mission has earned the trust of world-class investors, including andreessen horowitz, architect capital, gic, goldman sachs, greycroft, monashees, notable capital, quona capital, union square ventures, victory park capital, and more, who back our vision for the future. with their support, we are not just growing—we are transforming latin america’s financial ecosystem and shaping the next generation to shop, pay, and bank in colombia. but what truly sets us apart is how we build. we are a conscious company, driven by deep experience in scaling technology, services and products, and we live by our values every day. about the role this is where you come ...
About the jobthe lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products.at ltv, we all work closely together across teams, and there's no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you'll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day.what you will get to dojoin an established and collaborative data team as an individual contributor.help build and maintain scalable, reusable pipelines to process large genealogy data sets.analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements.design, build, and maintain restful apis to expose data and services to other teams and systems.write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd).troubleshoot issues and provide support to internal teams that depend on our data services.contribute to the design and continuous improvement of our tools, workflows, and infrastructure.work with a variety of technologies and cloud services, with the support of a tech lead.what you bring to the tablemust-haves:1–2 years of experience using python in a production environment.hands-on experience or familiarity with airflow (dags, operators, scheduling).experience working with docker (or other oc...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there's no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you'll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do join an established and collaborative data team as an individual contributor. help build and maintain scalable, reusable pipelines to process large genealogy data sets. analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. design, build, and maintain restful apis to expose data and services to other teams and systems. write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). troubleshoot issues and provide support to internal teams that depend on our data services. contribute to the design and continuous improvement of our tools, workflows, and infrastructure. work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: 1–2 years of experience using python in a production environment. hands-on experience or familiarity with airflow (dags, operators, scheduling). experience work...
Pearson está en búsqueda de revisor técnico que asegure la calidad de la traducción al español de nuestras obras para el nivel universitario. deberá validar la terminología especializada de la obra y garantizar la veracidad del contenido. requisitos indispensables: contar con posgrado, licenciatura o ingeniería. dominio del idioma inglés. experiencia editorial (revistas indexadas o publicación de libros) experiencia docente, deseable. constancia de situación fiscal y emisión de facturas. ¡transforma vidas, protagoniza el cambio, diviértete en el camino! what to expect from pearson did you know pearson is one of the 10 most innovative education companies of 2022? at pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. we do this by creating vibrant and enriching learning experiences designed for real-life impact. we are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. to deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: assessment & qualifications, virtual learning, english language learning, workforce skills and higher education. alongside these, we have our corporate divisions: digital & technology, finance, global corporate marketing & communications, human resources, legal, strategy and direct to consumer. learn more at we value the power of an inclusive culture and also a strong sense of belonging. we promote a culture where differences are embraced, opportu...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there's no red tape or bureaucracy. we get things done this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you'll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling). - ex...
Get ai-powered advice on this job and more exclusive features. about addi we are a leading financial platform, building the future of payments, shopping, and banking—a world where consumers and merchants can transact effortlessly, grow together and where we create abundance and generate pride in them. today, we serve over 2 million customers and partner with more than 20,000 merchants, making addi colombia’s fastest-growing marketplace. we provide banking solutions (deposits, payments, unsecured credit) and commerce services (e-commerce, marketing) using state-of-the-art technology, bridging the financial gap for millions and redefining how people experience financial freedom. as the country’s leading buy now, pay later provider, we have secured regulatory approval to operate as a bank, unlocking even greater opportunities for our customers. in the past year, we have also achieved profitability, reinforcing the strength of our business model and our ability to scale sustainably. our mission has earned the trust of world-class investors, including andreessen horowitz, architect capital, gic, goldman sachs, greycroft, monashees, notable capital, quona capital, union square ventures, victory park capital, and more, who back our vision for the future. with their support, we are not just growing—we are transforming latin america’s financial ecosystem and shaping the next generation to shop, pay, and bank in colombia. but what truly sets us apart is how we build. we are a conscious company, driven by deep experience in scaling technology, services and products, and we live b...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
About the job the lifetime value co. is looking for a data engineer to help us build, maintain, and optimize data pipelines that support our genealogy data products. at ltv, we all work closely together across teams, and there’s no red tape or bureaucracy. we get things done! this is a great opportunity for someone who enjoys working across various technologies, writing clean and maintainable code, and helping turn messy data into meaningful value. you’ll join a supportive team where your input matters and where we challenge each other to build better systems and processes every day. what you will get to do - join an established and collaborative data team as an individual contributor. - help build and maintain scalable, reusable pipelines to process large genealogy data sets. - analyze source data and collaborate with stakeholders to clarify requirements, challenge assumptions, and propose improvements. - design, build, and maintain restful apis to expose data and services to other teams and systems. - write production-ready code and follow good engineering practices (testing, peer reviews, ci/cd). - troubleshoot issues and provide support to internal teams that depend on our data services. - contribute to the design and continuous improvement of our tools, workflows, and infrastructure. - work with a variety of technologies and cloud services, with the support of a tech lead. what you bring to the table must-haves: - 1–2 years of experience using python in a production environment. - hands-on experience or familiarity with airflow (dags, operators, scheduling)...
4 weeks ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. about the job the lifetime value co. is looking for a full-stack engineer to join our team. this role involves contributing to the development...
About addi we are a leading financial platform, building the future of payments, shopping, and banking—a world where consumers and merchants can transact effortlessly, grow together and where we create abundance and generate pride in them. today, we ...
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