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Mid-level generalist data engineer in metros with common ETL/Databricks/AWS skills drives high competition.
ETL, Databricks and AWS skills are broadly transferable across industries for data engineering roles.
Mandatory 4–6 years plus Databricks/AWS/ETL skills makes filters stringent.
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Design, build, and optimize scalable ETL data pipelines using GitHub, Databricks native capabilities, and AWS services.
Focus on enhancing ETL workflows for improved performance and scalability.
Support data integration and transformation tasks critical to business operations.
4-6 years of experience in ETL development and data engineering.
Proficiency in scalable pipeline building with GitHub, Databricks, and AWS.
Location options include Pune, Bangalore, Hyderabad, and Indore, India.
Work Experience Required: 4-6 years.
Experienced in leveraging cloud services (AWS) combined with modern data engineering platforms (Databricks).
Capable of operating in agile and collaborative environments with emphasis on continuous learning and innovation.
Skilled in optimizing complex ETL processes for scalability and efficiency.