Get ai-powered advice on this job and more exclusive features. we’re seeking a proactive and self-driven data engineer who also excels in production support . this hybrid role is ideal for someone who is not only passionate about building data pipelines and infrastructure, but also thrives in fast-paced environments where supporting live systems and resolving issues is critical. design, build, and maintain scalable data pipelines and systems. develop efficient and optimized sql queries and python scripts. monitor and support production data workflows, ensuring reliability and performance. troubleshoot and resolve production incidents or data issues, including handling support tickets and root cause analysis. collaborate with stakeholders to understand data requirements and translate them into technical solutions. participate in on-call rotations and incident response when needed. work closely with devops and engineering teams to implement improvements in data infrastructure. maintain clear documentation for processes, data flows, and issue resolution. strong experience with sql and python for data manipulation and automation. (will be tested) hands-on experience with google cloud platform (gcp) and its services (bigquery, cloud functions, etc.). familiarity with kubernetes and containerized environments. proven ability to work independently with minimal supervision. solid background in data engineering and production support, i ncluding ticket management systems and real-time issue handling. excellent problem-solving skills and attention to detail. what we offer: competitiv...
Are you passionate about cloud data solutions and eager to drive innovation? we’re looking for an experienced aws data engineer to join our team and play a key role in designing, building, and optimizing our data infrastructure. responsibilities: develop, maintain, and optimize etl pipelines using aws glue design and implement data storage solutions with amazon s3 build and manage amazon redshift data warehouses for efficient analytics create interactive dashboards and visualizations using amazon quicksight collaborate with cross-functional teams to deliver scalable and high-performance data solutions qualifications: strong experience with aws data services , including redshift, glue, quicksight, and s3 expertise in data modeling, performance tuning, and query optimization proficiency in sql and python for data transformation and automation ability to work in a fast-paced, collaborative environment what we offer competitive salary and benefits package remote work flexibility opportunity to work with cutting-edge technologies in a collaborative environment 20-40 days paid absence (vacations, holidays) birthday bonus 500+ lifelong learning courses and developing opportunities to keep growing your skills quick leadership paths for seniors foreign company open door policy adastra culture manifesto: careers in colombia | adastra seniority level seniority level mid-senior level employment type employment type full-time job function job function analyst, engineering, and information technology industries it system data services and it system operations and maintenance referrals in...
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