Job Details
Location: Pune, Maharashtra
Working Schedule: Full time
Work Arrangement: Hybrid
Relocation Assistance Available: No

Job Summary
Design, build, and maintain robust ETL/ELT pipelines on cloud (Azure) or on-prem to collect, ingest and store large volumes of structured and unstructured data for batch/real time processing
Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance
Ensure data processing, quality, security, and compliance guidelines, policies and standards are followed
Collaborate with multiple partners from Business, Technology, Operations and DA capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI insights)
Mentor Data Engineers
Independently lead design, solutioning estimations

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Big Data Engineer I Pune (India)
🏢 MetLife
📍 India