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 recent and enhanced dashboards, following valuable 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.

📌 Data Engineer Aws Bengaluru
🏢 Golden Opportunities
📍 Bengaluru