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Mid-level data engineering role with common AWS/Python/Spark skillset in Hyderabad attracts many qualified applicants.
Core AWS, Python, and Spark skills are highly transferable across industries.
Explicit 5+ years requirement plus mandatory AWS, Python, and Spark expertise increases screening strictness.
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Design, develop, and maintain scalable, secure AWS data pipelines for batch and event-driven processing to support enterprise data ingestion.
Develop and operate data solutions using Python, Apache Spark, AWS Glue, and containerized services (Docker, Kubernetes) ensuring reliability, data quality, and lineage.
Collaborate with architects, platform teams, and business stakeholders to design APIs and ensure operational excellence, monitoring, and incident response for data platforms.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
5+ years of experience in data engineering or distributed systems development.
Strong hands-on expertise in AWS cloud services (Glue, Lambda, Step Functions, Event Bridge, S3, Athena, RDS Aurora Postgresql) and Python programming.
Experience with Apache Spark and building event-driven data pipelines.
Experienced in designing distributed data processing architectures with a focus on scalability and reliability.
Proficient in implementing end-to-end data quality, data lineage, and orchestration to support enterprise requirements.
Comfortable collaborating cross-functionally with platform, architecture, and business teams to deliver complex cloud-native data engineering solutions.