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Mid-level, generalist ETL role with common AWS/Python/Kafka skills and metro hiring increases competition.
Core data engineering skills like Python, SQL, and AWS are highly transferable across industries.
Explicit 3+ years plus mandatory Python, SQL, AWS, Kafka and CI/CD requirements make filtering strict.
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Design, build, and maintain scalable ETL pipelines and backend data workflows using Python, SQL, and AWS services.
Develop and optimize data processing solutions on AWS (Glue, EMR, Lambda, S3) and support CI/CD pipeline implementation for automation.
Collaborate across teams to translate business requirements into technical tasks and resolve data processing issues in lower and production environments.
Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
3+ years of software development experience focusing on backend or data engineering.
Proficiency in Python, strong SQL skills, and hands-on experience with AWS services including Glue, EMR, Lambda, S3, and Kafka topics.
Experience with CI/CD pipelines and automated build, test, deployment tools.
Experienced in building scalable ETL and data pipelines in cloud environments (especially AWS).
Comfortable working collaboratively with cross-functional teams including data engineers and architects to meet business needs.
Familiar with software development best practices such as version control, automated testing, and code reviews in a production setting.