Data Operating Center – Analyst

Data Operating Center – Analyst

Requirements

• Bachelor’s degree in computer science, Information Technology, or related field.
• At least 1+ years’ experience as a software engineer
• Experience in Python, Unit/Integration/Functional testing, SQL
• 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

Responsibilities

• 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

Preferred Qualifications

• Experience in Cloud Native Services (Azure/AWS)
• ETL background in any language or tools
• Experience with Snowflake or other Cloud Data warehousing products
• Exposure with Workflow management tools such as Airflow
• Data ingestion and transformation tools for ETL tools e.g. DBT, Spark, Kafka