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Mid-level ETL role in Bangalore with common skills (Python, SQL, AWS) increases applicant competition.
Data engineering skills are highly transferable across industries.
Explicit 3+ years and mandatory Python, SQL, and AWS/Glue/Kafka skills increase screening strictness.
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Design, develop, and maintain scalable ETL pipelines and backend data workflows using Python, SQL, and AWS services such as Glue, EMR, Lambda, and S3.
Support analytics, reporting, and downstream applications by ensuring reliable and optimized data processing solutions.
Collaborate with teams to understand requirements and contribute across the development lifecycle including implementation, testing, deployment, and support.
Bachelor’s degree in Computer Science or related field, or equivalent practical experience.
3+ years of experience in software development, focusing on backend or data engineering.
Proficiency in Python, SQL, and hands-on experience with AWS services including Glue, EMR, Lambda, S3, and Kafka.
Experience with CI/CD pipelines supporting automated build, test, and deployment processes.
Experienced in building and optimizing data pipelines in cloud environments, particularly using AWS data services under guidance from seniors.
Comfortable collaborating with cross-functional teams including architects and product owners to translate business needs into technical solutions.
Practices clean, maintainable, well-tested code and participates actively in code reviews and technical discussions.