JobsSenior Data Engineer
Job description
The role involves joining Fidelity's Asset Management Technology team to develop advanced data engineering solutions that support critical investment decisions. The team is responsible for a multi-terabyte data platform that underpins essential functions for Fidelity’s wealth management services. The ideal candidate will have a strong background in data engineering, particularly with Oracle PL/SQL and ETL tools. This position also requires participation in an after-hours on-call rotation for production support.
Requirements
- Years of demonstrated expertise in crafting high-quality data engineering solutions
- Strong software development background in the Financial Industry
- Expertise in Oracle PL/SQL development, SQL Scripting, and database performance tuning
- Proven understanding of ETL tools like Informatica and Data Warehousing platforms such as Snowflake
- Basic proficiency in Java, Python, REST API, and AWS is advantageous
- Experience with Agile methodologies (Kanban and SCRUM) is a plus
- Strong analytical and problem-solving skills
- Excellent written and oral communication skills
Responsibilities
- Develop scalable data processing solutions and design robust data models and ETL pipelines
- Apply modern DevOps and Agile practices in software development
- Independently address technical challenges and develop innovative solutions
- Analyze data to identify gaps and build solutions
- Participate in an after-hours, on-call rotation to provide production support
Benefits
- Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.
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