Senior Data Engineer - Support

Location: Bangalore, Karnataka

Time Type: Full time

Job Description

Job Description:

Job Title – Senior Data Engineer - Support

 

The Purpose of This Role

Fidelity’s Workplace Investing Data Engineering is seeking a senior data Engineer to lead the stability, resilience, and operational excellence of critically important production reporting applications.

This role is focused on ensuring high availability, reliability, and observability of enterprise reporting platforms built on Power BI, OAS/OBIEE., Informatica, Oracle Exadata and evolving to AWS and Snowflake.

You will play a key role in modernizing reporting systems, strengthening operational controls, improving platform resilience, and supporting cloud migration initiatives, while maintaining flawless production performance for business-critical workloads.

The Expertise You Have

• Bachelor’s degree in computer science or any other discipline
• 5-6 years of experience in DevOps, Data Engineering or Production Support

The Skills that are Key to this role

• Hands-on administration experience with Power BI, OAS/OBIEE
• Experience supporting enterprise reporting platforms in production
• Strong Linus/Unix experience
• Extensive experience with Oracle / PL-SQL
• Strong experience with Informatica ETL
• Experience working in Data warehouse environment
• Experience participating in production on-call rotations.
• Experience with AWS, Snowflake, Airflow
• Experience with CI/CD pipelines and automation frameworks
• Programming experience in Python, Java or C
• Experience implementing observability solutions (monitoring, logging, alerting)

The Skills that are Good to Have for this role

• Strong problem-solving and root cause analysis skills
• Ability to drive operation improvements and reliability engineering practices
• Excellent collaboration and communication skills
• Ability to manage competing priorities in fast-paced production environment
• Ownership mindset with focus on service reliability and customer impact.

The Value You Deliver

• Ensure stability, resiliency, and performance of production reporting applications (Power BI, OAS/OBIEE, Tableau)
• Design and implement monitoring, alerting, and observability frameworks
• Lead incident triage, root cause analysis, and problem management
• Strengthening platform reliability through automation, capacity planning and failover strategies
• Perform data analysis, data modeling and data validation
• Partner with infrastructure and cloud teams to migrate applications to AWS and Snowflake
• Improve CI/CD, deployment automation and DevOps best practices
• Participate in rotational on-call support for production systems
• Collaborate with business and IT teams to ensure reporting solutions meet performance and SLA expectations.

How Your Work Impacts the Organization

WS (Workplace Solutions) helps our customers save and invest through workplace retirement savings plans, build lifetime relationships with customers and provide employers with cost-effective, integrated employee benefit solutions. WS serves customers online, over the phone, and through a nationwide network of investor centers. WS is also committed to helping drive employee retirement readiness by delivering leading-edge financial solutions to employers, including recordkeeping, cash management products and services and personal advisory services (PAS).

BU Overview

WI (Workplace Investments) helps our customers save and invest through workplace retirement savings plans, build lifetime relationships with customers and provide employers with cost-effective, integrated employee benefit solutions. WI serves customers online, over the phone, and through a nationwide network of investor centers. WI is also committed to helping drive employee retirement readiness by delivering leading-edge financial solutions to employers, including recordkeeping, cash management products and services and personal advisory services (PAS).

Location: EGL, Bangalore

Shift timings: 11:00 am - 8:00pm

Certifications:

Category:

Information Technology