Data Engineer

Information Security Responsibilities

• Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
• Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
• Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
• Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Responsibilities

Design and build scalable ETL pipelines to ingest, transform and load large volumes of OTC derivatives data for downstream reporting and analytics.

Develop and optimize database objects, stored procedures and batch processes that support ETL workflows, report generation and data delivery.

Design data models, schemas, SQL views and stored procedures to support efficient ETL processing and regulatory, operational and business reporting.

Build and maintain real-time and batch ETL pipelines for trade and confirmation data ingestion, transformation, reconciliation and report-ready data provisioning.

Support data migration and onboarding activities by building validation routines, reconciliation checks and ETL cutover processes to ensure reporting continuity.

Develop, automate and support regulatory and business reports using Python, SQL stored procedures and enterprise reporting platforms such as Business Objects and Tableau.

Write complex SQL queries, stored procedures and reusable reporting logic to generate accurate, timely outputs for business users and regulatory consumers.

Ensure strong data controls, access governance and quality checks across ETL pipelines, reporting datasets and database environments.

Participate in Agile delivery and contribute to automation, scheduling and CI/CD practices for ETL jobs, reporting workflows and production deployments.

Provide production support for ETL and reporting processes, including job monitoring, issue triage, data reconciliation and root cause analysis.

Requirements

3-5 years of experience in ETL and reporting development

3-5 years of experience with SQL and writing stored procedures

3-5 years of experience building ETL pipelines

3-5 years of experience in Snowflake and DB2 databases.

Strong knowledge of SQL for reporting and data analysis

Have Worked in Agile, DevOps and Git

3-5 years of experience with Python for ETL and report generation

Perform of data validation and reconciliation.…