Data Engineering Analyst
Core
Building and maintaining automated data pipelines, migrating legacy systems to new platforms, and ensuring data quality and integrity for a commercial lending company.
Role type
Senior Data Engineer (Migration & Automation)
Builds
Automated data pipelines, migrated data systems, and reliable data workflows for business reporting.
Domain
Financial services / Commercial lending / Cloud data engineering
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, Python, ETL/ELT development, cloud data platforms, data warehousing, Git/GitHub, pipeline orchestration, data quality validation, legacy system migration, schema mapping, data reconciliation, backfill management, CI/CD practices
Preferred skills
Microsoft Fabric, Azure Data Factory, Apache Airflow, data observability, query tuning, Parquet/Delta formats, REST API integration
Technologies
SQL, Python, Git, GitHub, Microsoft Azure, Microsoft Fabric, Apache Airflow, Azure Data Factory, Parquet, Delta
Responsibilities
Improve data pipelines via automation with quality checks; Migrate legacy systems to new systems with thorough analysis and seamless data transfer; Develop and maintain ETL/ELT processes; Perform data reconciliation and validation between source and target systems; Manage backfills and historical data handling; Support cutover planning, execution, and post-migration validation
Seniority
Senior, hands-on IC
