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Tier-1 employer, metro location, broad AWS data skillset, and popular data engineer role increases competition.
Core data engineering skills transfer across industries, but AWS Glue and consulting/client focus add specialization.
Explicit 9+ years and many mandatory AWS data engineering skills enforce strict filtering.
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Manage client relationships and program/account delivery ensuring alignment of goals, timelines, budgets, and outcomes.
Design, build, and maintain scalable data pipelines and data lakes on AWS using services like Glue, Lambda, EMR, Step Functions, S3, and Redshift/Snowflake.
Implement data quality checks, monitoring, logging, CI/CD deployments and collaborate with analytics and business teams to deliver high-quality datasets.
9+ years of strong hands-on experience with AWS Glue, S3, Lambda, IAM, and Step Functions.
Proficiency in Python (PySpark), SQL, and data transformation logic.
Bachelor’s degree in Engineering (B.Tech or BE).
Location flexibility to work from Bengaluru or other specified cities with occasional client travel; Hybrid work model.
Experienced in building and optimizing AWS-based data engineering solutions with a strong focus on data lakes and warehousing.
Skilled in managing change, mitigating risks, and delivering quality results in client-facing project environments.
Capable of strategic problem-solving and effective client communication to drive business growth and successful program delivery.