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Senior Data Engineer
skillventory - A Leading Talent Research FirmData Engineer developing advanced data solutions for Fidelity’s Asset Management Technology team. Designing robust data models and ETL pipelines for critical investment decisions.
Tech Stack
Tools & technologiesAWSETLInformaticaJavaOraclePythonSQL
About the role
Key responsibilities & impact- Develop advanced data engineering solutions that power critical investment decisions
- Design robust data models and ETL pipelines
- Apply modern DevOps and Agile practices
Requirements
What you’ll need- 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
- Passion for learning new technologies and analyzing data to identify gaps and build solutions
- Ability to independently address technical challenges and develop innovative solutions
- Strong data modeling skills using Quantitative and Multi-Dimensional Analysis
- In-depth knowledge of data composition concepts including Transactional, Data Mart, and Data Warehouse structures
- Basic proficiency in Java, Python, REST API, and AWS is advantageous
- Experience with Agile methodologies (Kanban and SCRUM) is a plus
- Excellent written and oral communication skills
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQL ScriptingDatabase Performance TuningData Composition ConceptsTransactional StructuresData Mart StructuresData Warehouse StructuresJavaPythonREST APIAWS
Soft Skills
Excellent Written CommunicationExcellent Oral CommunicationProblem-SolvingInnovative ThinkingPassion for Learning