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Senior, specialized data role in Hyderabad with niche AWS Glue skills and moderate brand, so medium competition.
Core AWS, Python, and SQL data engineering skills are broadly transferable across industries.
Explicit 8+ years and required AWS Glue/Python/SQL skills enforce strict shortlisting filters.
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Design and implement cloud-based data pipelines and application capabilities for compensation processing using Python, AWS services, and C#.
Build and maintain ETL/ELT workflows and event-driven architectures leveraging AWS Glue, Lambda, EventBridge, and related tools ensuring data quality and integrity.
Collaborate cross-functionally with architects, product teams, and compensation SMEs to deliver scalable, resilient, and automated compensation platform solutions.
8+ years overall experience with 5+ years in data engineering, preferably in transformation-heavy or rules-driven domains.
Strong expertise in Python programming for ETL/ELT and pipeline orchestration.
Hands-on experience with AWS cloud services including Glue, Lambda, EventBridge, RDS, and S3.
Bachelor’s degree in Computer Science or related field.
Experienced in designing and operating cloud-native data platforms focused on high data integrity and automation in compensation or financial domains.
Proficient in distributed workflow design and event-driven architectures using AWS serverless components.
Capable of working in Agile teams with strong ownership for designing scalable and maintainable cloud data pipelines and integration solutions.