Principal Data Engineer

The Purpose of This Role

At Fidelity, we use data and analytics to personalize incredible customer experiences and develop solutions that help our customers live the lives they want. As part of our digital transformation, we have significant investments to build cloud data lake platforms. We are looking for a hands-on data engineer who can help us design and develop our next generation Cloud Data Lake and Analytics Platform for Workplace Solutions.

The Value You Deliver

Fidelity's Workplace Investing Reporting and Analytics chapter ( India)  is seeking a Principal Data Engineer to play a key role in building a Power BI and snowflake-based reporting application.

Team is responsible for building reports in Power BI with Snowflake as the source of data for the reports. It will also develop lot of custom capabilities on AWS

Team needs to work closely with the Enterprise Data Lake (EDL) team for data acquisition for the reports and with the Oracle Analytics Server (OAS) team to migrate the OAS based reports to Power BI.

This person will be self-driven and work with technical partners, and assist developers and testers as needed. The role demands significant collaboration with members of various business and IT groups throughout the lifecycle of a typical project. Our engineering team is innovative, diverse, hardworking, and self-driven. We work in a very dynamic agile environment.

The Expertise You Have

- 12+ years of experience in data engineering or BI development.

- Proven leadership in designing and delivering scalable data solutions in a collaborative, agile environment.

- Expertise in Snowflake, including data modeling, performance tuning, and integration.

- Advanced Power BI development skills with a strong portfolio of dashboards and reports.

- Deep understanding of data modeling (star/snowflake schemas) and scalable architecture design.

- Proficiency in SQL, PL/SQL, and ETL tools like Informatica.

- Experience with Airflow, Oracle, and OBIEE/OAS.

- Ability to drive architecture discussions, mentor engineers, and ensure QA readiness of deliverables.

- Strong communication, collaboration, and problem-solving skills.

Preferred Skills

- Experience with Snowflake features such as Snowpipe, Streams, and data sharing.

- Familiarity with cloud platforms (AWS, Azure).

- Knowledge of Power BI governance, security, and embedding reports.

- Hands-on experience with Python and other BI tools (e.g., Tableau, QlikView).

- Ability to evaluate and adopt emerging technologies and patterns.

The Skills You Bring

• Working in a team of developers and analysts to deliver business value by coordinating with Architects, Analysts and Product owners
• Strong collaboration skills
• Excellent communication skills required
• Strong problem resolution skills required
• Critical thinking and the ability to work in an agile environment

The Value You Deliver

• Accountable for consistent delivery of functional software sprint to sprint, release to release
• Perfection in software development practices and procedures
• Participates in application-level architecture able to drive the solution
• Develops original and creative technical solutions to ongoing development efforts
• Responsible for QA readiness of software work you are doing (end-to-end tests, unit tests, automation)
• Responsible for supporting implementation of initiatives
• Works on sophisticated assignments and often multiple phases of a project
• Assists in developing departmental technical policies and procedures

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).

The Expertise were looking for

• 12+  years of experience in Data Warehousing, Big data, Analytics and Machine Learning
• Graduate / Post Graduate

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