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Tier-1 brand, popular AWS data role, metro locations, and broad skillset requirements increase competition.
Specialized AWS data engineering stack and consulting delivery experience limit transferability across unrelated industries.
Explicit 8+ years and mandatory AWS Glue, PySpark, and Redshift skills create stringent shortlisting filters.
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Manage client relationships and oversee successful delivery of AWS data engineering programs or accounts.
Design, build, and maintain scalable data pipelines and data lakes using AWS services like Glue, Lambda, EMR, Step Functions, and S3.
Collaborate with analytics and business teams ensuring high-quality datasets and implement data quality checks, monitoring, and CI/CD deployments.
8+ years of hands-on experience with AWS Glue, S3, Lambda, IAM, and Step Functions.
Proficiency in Python (PySpark), SQL, and data transformation logic.
Mandatory education: B.Tech or BE.
Location: Pune, Bangalore, Hyderabad, Bhubaneswar, Chennai, or Coimbatore with occasional client travel and hybrid work mode.
Experienced in managing client engagements and aligning project goals, timelines, and budgets in AWS data engineering contexts.
Strong technical expertise in AWS data services combined with skills in data modeling, data lake, and distributed data processing.
Capable of strategic thinking and problem solving to deliver quality results and mitigate risks in fast-changing environments.