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Tier-1 brand, mid-level experience, metro location, and broad AWS data skills increase applicant competition.
Core AWS data engineering skills are highly transferable across industries.
Explicit 6+ years and mandatory AWS Glue, PySpark, Redshift skills enforce strict shortlisting.
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Manage client relationships and ensure successful delivery of AWS data engineering programs or accounts.
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, and CI/CD deployments while collaborating with analytics and business teams to deliver high-quality datasets.
6+ years of 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 or Technology (B.Tech or BE).
Location: Bengaluru (with base locations also in Pune, Hyderabad, Bhubaneswar, Chennai, Coimbatore); willingness to travel occasionally to client locations; hybrid working model.
Experienced in managing client relationships and aligning project goals, timelines, and budgets within AWS data engineering projects.
Strong technical expertise in AWS data services, data lake principles, and distributed data processing frameworks like Spark.
Ability to manage change, quality, and risk effectively while applying strategic thinking and problem-solving in complex technology environments.