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ETL/ELT Data Integration Engineer - Market Risk

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Summary

Contract role supporting Market Risk IT: day-to-day support and project development of ETL/ELT data integration processes for risk management systems. Core stack includes SQL Server, SSIS, Python, Databricks, Azure Data Factory, and Snowflake, with Tidal for job scheduling and Jira/Confluence/Git for change management.

Data Integration Developer - Market Risk

11/04/2025

Contract

Active

Job Description:

Job Summary

We are seeking an experienced Data Integration Developer to support development and daily operations within Market Risk IT.

The ideal candidate will have strong expertise in ETL/ELT processes, database programming, and data integration tools, with experience in financial services projects.

Key Responsibilities

  • Provide daily support and project-based development for risk management systems.
  • Design and develop ETL/ELT processes across heterogeneous data systems.
  • Collaborate with cross-functional teams to ensure data integrity and system performance.
  • Troubleshoot and resolve technical issues related to data integration workflows.
  • Maintain documentation and adhere to best practices for data governance and compliance.
Required Qualifications
  • 6+ years of IT experience, including at least 2 years in financial projects (preferably Market Risk).
  • Strong experience in SQL and database programming (MS SQL Server preferred).
  • Hands-on experience with ETL/ELT tools such as SSIS and data warehousing concepts.
  • Proficiency in Python, Databricks, Azure Data Factory (ADF), and Snowflake DB.
  • Experience with job scheduling and automation tools (Tidal preferred).
  • Strong testing and troubleshooting skills.
  • Familiarity with Jira, Confluence, and Git for change management.
  • Excellent communication, presentation, and team collaboration skills.
  • Bachelor’s degree in Computer Science, Finance, or related field.
Preferred Qualifications
  • Exposure to advanced data integration frameworks and cloud-based solutions.
  • Experience in performance tuning and optimization of ETL workflows.

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