Senior Big Data Engineer - AWS & Databricks Expert
Summary
Senior data engineer who designs and owns end-to-end, scalable data pipelines on AWS using Spark, Databricks, and modern data tools, optimizing performance and cost while collaborating with AI, product, and engineering teams. Requires 5+ years in big data engineering with strong Python, SQL, and AWS data services skills.
SoftServe in Chile is seeking an experienced Data Engineer to design and implement scalable data pipelines in AWS, leveraging Spark, Databricks, and modern data tools. You will own end-to-end data workflows, optimize performance and costs, and collaborate with AI, product, and engineering teams.
The role requires 5+ years of experience in Big Data/Data Engineering, strong Python and SQL skills, and hands-on AWS data services expertise.