Senior Data Engineer

Job Description:

Senior Data Engineer

The Role

As a business-side Data Engineer, you will be responsible for translating business processes such as transaction workflows and contact center activities into scalable data solutions that facilitate data-driven decision making by the organization. Tasks include capturing business and technical requirements, modeling data, and building data pipelines that collect, transform, and load data. Daily activities will include monitoring the execution of ETL solutions in SQL Server and Snowflake and performing pipeline repair as needed.

The Expertise and Skills You Bring

• Strong analytical, technical, and problem-solving skills to translate sophisticated customer needs into technical requirements and solutions.
• Effective verbal and written communication skills with ability to influence the desired outcome.
• Collaboration skills and an ability to work with business partners in both Business and Technology roles, as well as across Business Units.
• An intellectual curiosity to learn new technologies and business areas.
• A passion for 'simplifying the complex'.
• Strong working experience with relational databases (SQL Server, Oracle, Snowflake).
• Proficient with SQL and writing sophisticated queries.
• Experience with data visualization or analytics tools like PowerBI, Tableau, SSAS, etc.
• Familiarity with DevOps and CI/CD pipeline concepts.
• An understanding of data modeling, especially star schema dimensional models.
• Knowledge of Fidelity work management tools, data stores and reference systems (XTRAC, Salesforce, Genesys, WIA, PPMC, etc.) is a plus.
• Experience with ELT/ETL data integration, orchestration, or scheduling tools such as SSIS, Informatica or Control M.
• Bachelor’s degree or equivalent experience in a quantitative / technical field such as Data or Business Analytics, Computer Science, or Engineering.

The Team

Global Workforce Optimization (GWO) is a Shared Services team within Workplace Investing (WI) that provides staffing, forecasting, and process efficiency analytics across all levels of the WI organization. Within GWO, The Data Infrastructure and Architecture team maintains the data foundation that delivers all metrics required for daily business management, long-term planning, and key decision making. We also work with partners across the business to support their data needs, along with Enterprise Technology and their efforts to build out the Enterprise Analytics Platform.

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Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.