Senior Data Engineer

Fidelity•Westlake, TX

3d•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, production rollout and production support activities using Java Spring, AWS, Oracle, and Snowflake. The role will be involved maintaining and improving our vast data ecosystem that provides value to our compensation, sales, and reporting users.

Requirements

Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 6 years of working experience
Proven experience in DevSecOps best practices and tools like Jenkins or Jenkins Core, SonarQube, Mend.io, Datadog, Git/GitHub, or other similar tooling.
Proven experience developing with Java (17), Spring Boot, and/or other Open-Source stack technologies
Hands on experience working with AWS EKS and AWS managed solutions such as Lambda, EFS, EC2, S3, CloudWatch, IAM roles/polices etc. is required.
Strong software development background in the Financial Industry
Proven understanding of ETL/ELT and Data Warehousing platforms such as Snowflake
Experience working with SQL (ANSI SQL, Oracle, Snowflake)
Experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M)
Experience in Agile methodologies (Kanban and SCRUM)
Experience building and deploying containerized applications using Docker
Sound understanding of the software development process including analysis, design, coding, system and user testing, problem resolution and planning.
Strong analytical skills and ability to tackle issues and work through ambiguous situations by making timely decisions based on facts, knowledge, experience and judgment.
Good interpersonal and client-handling skills with the ability to handle expectations and explain technical detail.
Consistent track record to multitask, prioritizes tasks, and quickly adjusts in a constantly evolving environment.
Ability to navigate organizationally to accomplish tasks and work on multiple efforts simultaneously and ability to work with multi-functional teams located across geographies.
Excellent conflict management and negotiation skills; eager to learn and continuously develop personal and technical capabilities.
High level of dedication, initiative, vision, passion and professional approach to time, costs, and deadlines.

Nice To Haves

Work experience in the financial services industry is a plus

Responsibilities

Design, build, and maintain operational and analytical capability in FI's data platforms.
Perform solution design, data analysis, production rollout, and production support activities.
Maintain and improve the data ecosystem.
Design robust batch and streaming programs and adhere to standards and best-practices for databases.
Analyze data, identify gaps, issues, patterns, and trends.
Analyze application dependencies and conduct impact assessment of changes.
Handle production issues with accuracy and attention to detail.