Data Engineer - AWS

Job highlights

• 4+ years experience with 3+ years in AWS Glue, Lake Formation, Athena, Amazon Quick Sight, SQL, Python, and Amazon Bedrock
• Build and maintain AWS data pipelines, manage data ingestion and dashboard refreshes, monitor pipeline health, apply data-quality checks, and collaborate with BI teams

Work Mode: Work From Office .

Candidate Specification:. 4+ years overall, Relevant 3+ years .

Candidate Location: Pan India

Skills: AWS Glue, Lake Formation, Athena, S3, Amazon Quick Sight, SQL, Python, Amazon Bedrock. .

Candidate Industry: IT

Education and Certification: Any Graduation.

Job Description .

• Build and maintain data pipelines on AWS (Glue) that feed the Amazon Quick Suite (Quick Sight) datasets, to agreed quality and timelines.
• Manage data ingestion, transformation and dashboard refresh schedules.
• Monitor pipeline health and resolve data-load and refresh issues within agreed SLAs (BAU / L2-L3 support).
• Apply data-quality checks and reconciliations to protect metric accuracy.
• Deliver the data behind new and enhanced dashboards, following good deployment practice.
• Collaborate with architects, administrators and BI developers on delivery.
• AWS Glue, Lake Formation, Athena, S3, Amazon Quick Sight,
• Exposure to SQL and Python;
• Exposure to Amazon Bedrock.