Analyst – Data Engineering

Bachelors’ degree in Computer Science or equivalent practical experience
At least 3+ years’ experience as a software engineer
Experience in Python, Unit/Integration/Functional testing
Experience in SQL, PL/SQL programming, Stored procedures, UDFs
Experience / Familiarity with Database Modeling, Normalization techniques
Experience / Familiarity with object-oriented design patterns
Experience with dev ops tools for CI/CD like Git, Maven, Jenkins, Gitlab CI, Azure DevOps
Experience with Agile development concepts and related tools (e.g. ADO, Jira, etc.)
Ability to trouble shoot and fix performance issues across the codebase and database queries
Excellent written and verbal communication skills
Passion for learning and implementing new technologies
Ability to operate under fast-paced environment

Design and build scalable data pipelines in the market data space to process large datasets efficiently
Develop and maintain ETL processes to integrate data from multiple sources into centralized data warehouses
Monitor and maintain data systems, ensuring data accuracy, consistency, and reliability
Work alongside program managers, product teams and business analysts throughout the SDLC cycle
Provide L2 or L3 support for technical and/or operational issues encountered
Conduct end-to-end UAT tests to ensure production operations run successfully
Prepare user documentation to maintain both development and operations continuity
Lead process engineering for a data pipeline engineering area
Contribute on design decisions for complex systems
Take responsibility for work beyond assigned tasks and take emotional ownership of projects