Fidelity Institutional (FI) is looking for a Senior Data Engineer to join the Integrated Portfolio Construction team to implement innovative solutions for financial advisors using the latest technology in a collaborative and engaging environment.
Requirements
- Extensive experience with ETL technologies
- Advanced data manipulation languages and frameworks (JAVA, PYTHON, JSON) – required
- RMDS experience (Snowflake, PostgreSQL ) – required
- Knowledge of Cloud platforms and Services (AWS – IAM, EC2, S3, Lambda, RDS ) – required
- Designing and developing low to moderate complex data integration solution – required
- Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) will be preferred
- Expert in SQL and Stored Procedures on any Relational databases
Responsibilities
- Design and develop ETL reporting and analytics solutions.
- Designing and developing low to moderate complex data integration solution
- Create, update, and maintain technical documentation for software-based projects and products.
- Solving production issues.
- Interact effectively with business partners to understand business requirements and assist in generation of technical requirements.
- Participate in architecture, technical design, and product implementation discussions.
- Experience with developing sophisticated Continuous Integration & Continuous Delivery (CI/CD) pipeline including software configuration management, test automation, version control, static code analysis.
Other
- Strong written and verbal communication skills and the ability to mentor technical peers is encouraged.
- A proven foundation in data engineering – bachelor’s degree + preferred, 6+ years’ experience
- Excellent interpersonal and communication skills
- Ability to work with global Agile teams
- Proven ability to deal with ambiguity and work in fast paced environment
