Senior Data Engineer

Fidelity Investments • Smithfield, RI

2d • Hybrid

About The Position

The FI Data Solutions team is looking for a highly motivated Senior Data Engineer responsible for designing, building, and maintaining the operational and analytical capability in FI's data platforms. The work involves solution design, data analysis, end to end development, production rollout, and production support activities using Java Spring Batch, Python, AWS, Oracle, and Snowflake. The role will be involved in projects centered around maintaining and improving the quality of financial product information brought into our data ecosystem that will provide value to our compensation, sales, and reporting users. The role will be positioned as a more senior developer within a single squad.

Requirements

• Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5-7 years of working experience
• 5+ years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is a must
• 2+ years of experience developing batch / backend applications that run in AWS, with focus on AWS Batch and S3
• 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
• Proven data analysis skills; not afraid to work in a complex data ecosystem
• Proven track record to handle ambiguity and work in a fast-paced environment, either independently or in a collaborative manner
• Good interpersonal skills to work with multiple teams within the business unit and across the organization
• Proven experience developing solution architecture diagrams and design documents that help guide developers and analysts on how to implement and maintain our systems and applications
• Proven history of mentoring other developers to their fullest potential

Nice To Haves

• Hands-on experience on SQL query optimization and tuning to improve performance is desirable
• Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Terraform, CloudFormation)
• Experience in Agile methodologies (Kanban and SCRUM)
• Experience building and deploying containerized applications using Docker
• Work experience in the financial services industry is a plus
• Passion and intellectually curiosity to learn new technologies and business areas
• Working with our business partners to enhance their user experience and provide them curated data to help them drive business results more effectively
• Enhancing data quality of financial product information in our systems that has a huge impact on sales, compensation, and reporting usecases

Responsibilities

• Designing, building, and maintaining the operational and analytical capability in FI's data platforms.
• Solution design, data analysis, end to end development, production rollout, and production support activities using Java Spring Batch, Python, AWS, Oracle, and Snowflake.
• Maintaining and improving the quality of financial product information brought into our data ecosystem that will provide value to our compensation, sales, and reporting users.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees