Data Engineer

Requirements5+ years of experience in ETL and reporting development5+ years of experience with SQL and writing stored procedures5+ years of experience building ETL pipelines5+ years of experience in Snowflake and DB2 databases.Strong knowledge of SQL for reporting and data analysisHave Worked in Agile, DevOps and Git3-5 years of experience with Python for ETL and report generationPerform of data validation and reconciliation.Knowledge of reporting tools such as Business Objects or Tableau is good to have.Experience in cloud platforms (Azure/GCP/AWS) good to haveResponsibilitiesDesign 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.