Description

Lead data engineering, quality, and governance efforts within a global delivery model. You will manage a technical team, establish data quality SLAs, and resolve complex data anomalies.

This role is on-site.

Responsibilities

• Manage and grow a technical team through hiring and continuous upskilling.
• Review individual contributor deliverables to ensure technical rigor and accuracy.
• Establish SLAs and validation procedures to maintain high data quality standards.
• Analyze data patterns to identify root causes of anomalies and propose proactive solutions.
• Collaborate with global partners to align operational processes with data models.

Required Skills

• 13+ years of experience in Data Engineering and Management projects.
• 3+ years leading teams of 5+ members in a global delivery model.
• Hands-on experience with Teradata SQL and ETL processes.
• Proficiency in business analysis, Data Quality, Governance, and Remediation.
• Ability to perform statistical data analysis and build hypotheses.
• Experience sourcing data from multiple sources using SQL or ETL.
• Strong documentation skills for requirements, queries, and testing.
• Engineering or Post-graduate degree from a reputed institution.

Preferred Skills

• Domain knowledge of home lending product lifecycles (Originations, Servicing, Default Operations, Risk).
• Certifications in Data Management or Data Engineering tools.

Key Skills

Education

Any Graduate