Senior Data Engineer
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Job Description
Senior Data Engineer designing and maintaining scalable data infrastructure for enterprise reporting, financial reconciliation, and operational analytics at Vetcor.
Responsibilities:
- Design, build, optimize, and maintain ETL/ELT pipelines
- Develop and support ingestion frameworks (API-based and file-based) across multiple external platforms
- Implement data quality validation, deduplication logic, reconciliation controls, and financial accuracy checks
- Build Spark/Python-based transformation and orchestration logic
- Participate in incident management and root cause analysis for production data issues
- Create and maintain technical documentation, playbooks, and knowledge transfer materials to reduce single points of failure
- Support strategic initiatives requiring scalable, resilient, and compliant data architecture.
Requirements:
- 7-10+ years of experience in data engineering
- Advanced proficiency in SQL
- Strong hands-on experience with Spark and Python
- Deep understanding of ETL/ELT architecture and data pipeline orchestration
- Demonstrated ability to troubleshoot and resolve complex data issues quickly end-to-end
- Advanced knowledge of data governance practices, standards, and compliance frameworks
- Strong analytical skills with the ability to interpret both high-level patterns and granular datasets
- Experience implementing data quality controls and reconciliation processes
- Bachelor’s degree in Information Management, Data Science, Computer Science, Business Administration, or related field preferred (equivalent experience accepted)
Benefits:
- Competitive compensation and benefits upon conversion
- Opportunities for professional growth and long-term impact
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