The FI Data Solutions team at Fidelity Investments is looking for a Data Engineer to design, build, and maintain operational and analytical capabilities in their data platforms, specifically to integrate new financial products into the data ecosystem to provide value to compensation, sales, and reporting users.
Requirements
- 4+ years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is a must
- 2+ years of experience developing applications that run in AWS, with focus on AWS Batch, S3, IAM
- 3+ years working with SQL (ANSI SQL, Oracle, Snowflake)
- 2+ years of Python development
- Experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M)
- Strong data modeling skills with experience working with 3NF and Star Schema data models
- Hands-on experience on SQL query optimization and tuning to improve performance is desirable
Responsibilities
- designing, building, and maintaining the operational and analytical capability in FI's data platforms
- solution design
- end to end development
- production rollout
- production support activities using Java Spring Batch, Python, AWS, Oracle, and Snowflake
- bring in new financial products into our data ecosystem
- provide value to our compensation, sales, and reporting users
Other
- Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of working experience
- Proven data analysis skills; not afraid to work in a complex data ecosystem
- Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Terraform, CloudFormation)
- Experience in Agile methodologies (Kanban and SCRUM)
- Work experience in the financial services industry is a plus
