**Company Description** Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling. **Responsibilities**: - Work closely with the Data Analyst/Data Scientist to understand evolving needs and define the data processing flow or interactive reports. - Build end-to-end data engineering projects, focusing on migration from legacy systems to cloud-based environments (Azure). - Design and create scalable ETL pipelines, ensuring efficient data flow and transformation processes. - Manage data integrations with Salesforce, leveraging event-driven architectures and cloud-based services. - Collaborate with cross-functional teams and be confortable on contact with clients, particularly based in the US. - Accelerate the development processes and collaborate with Data Engineers and Data Analysts following Scrum Methodologies **Qualifications** - ** Cloud Data Warehousing**: Snowflake - ** Programming Languages**: Python, Scala, SQL - ** Big Data Frameworks**: Apache Spark, Databricks (including Delta Lake and Delta Tables) - ** Cloud Platforms & Services**: Microsoft Azure (Azure Data Factory, Azure Event Hub, Azure Functions) - ** Data Engineering**: Data pipelines, ETL/ELT design, batch and streaming data processing - ** Data Storage & Management**: Delta Tables, Azure Data Lake, Azure Blob Storage - ** Orchestration & Integration**: Azure Data Factory (ADF), Azure Functions, Event-driven architecture - ** Workflow & Automation Tools**: CI/CD pipelines, version control (Git), DevOps practices - ** Data Modeling & Warehousing**: Dimensional modeling, data lakes, lakehouse architectures - ** Monitoring & Optimization**: Performance tuning in Spark, job monitoring with Azure tools - ** Collaboration Tools**: Jira, Confluence, Agile/Scrum methodologies **Additional Information** Discover some of the global benefits that empower our people to become the best version of themselves: - ** Finance**: Competitive salary package, share plan, referral bonus; - ** Career Development**: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; - ** Learning Opportunities**: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; - ** Work-Life Balance**: Hybrid work and flexible working hours, employee assistance programme; - ** Health**: Global internal wellbeing programme, access to wellbeing apps; - ** Community**: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. - In compliance with the Law 1581 of 2012, _**_Endava S.A.S. / Endava Colombia S.A.S_**_, identified with _**_NIT. Nº 900.955.679-3 / N° 900.594.521-9 _**_, with an address at Street 96 No. 10 - 38, floor 7th in the city of Bogotá and Career 48 No. 18A - 14 Floor 19, with telephone number (+571) 3905061, (hereinafter referred as “ENDAVA” or the “Organization”), as RESPONSIBLE for the processing of personal information informs:_ - You, and every personal information owner, have the right to: know, update and rectify your personal data; access to it free of charge; to be informed about its use; request proof of authorization; file complaints for violations of the provisions of current regulations before the Superintendence of Industry and Commerce. Finally, in some applicable cases, modify and revoke the consent given and/or request the deletion of your personal information._