Back
Large-bank brand, metro location, and common mid-senior data skillset increase applicant competition.
Core data engineering skills are transferable, but banking domain and regulatory data governance add specificity.
Mandatory 7+ years plus required Snowflake, DBT, T-SQL and data governance skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead data engineering efforts for partnership offers by collaborating with platform, credit risk, partnership, technology, and CDAO teams.
Analyze end-to-end data flow and identify detailed data lineage and critical data elements to ensure data quality and risk mitigation.
Manage stakeholder relationships independently while contributing to enhancements in data literacy, management, and quality.
7+ years hands-on experience in Data Warehouse, ETL concepts, and migrations.
Proficiency in T-SQL, writing stored procedures in Snowflake, and ELT tools such as DBT (including macros).
Bachelor's degree in Engineering (B.E./B.Tech), Computer Applications, IT, or Business Administration, or equivalent/post-graduation.
Experience with data quality frameworks, data risk assessment, and business stakeholder engagement.
Experienced working across multi-disciplinary teams in technology and banking operations, especially credit risk and data management.
Skilled in managing complex data pipelines, data quality metrics, and implementing CI/CD for diverse data formats.
Ability to distill complex analytical requirements into non-technical terms and operate within Agile environments effectively.
