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Senior Data Engineer
Location
India
Posted
115 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer
Level Access
• Design, build, and maintain a scalable data platform on Databricks and AWS, following Medallion (Bronze/Silver/Gold) architecture principles. • Develop and manage data ingestion and ETL/ELT pipelines from core business systems, ensuring data quality, reliability, and performance. • Implement data quality monitoring (freshness, completeness, validity, anomaly detection) with automated alerting. • Establish and maintain Golden Record identity resolution and reverse sync across source systems. • Govern metadata, lineage, and permissions using Databricks Unity Catalog and platform standards. • Collaborate with cross-functional teams to deliver analytics- and AI-ready datasets that support business objectives. • Apply best practices for infrastructure as code, CI/CD, and version control for data pipelines. • Communicate effectively with stakeholders, manage ambiguity, and drive results in a fast-paced environment.
Job Requirements
- 8+ years of experience in data engineering, building production-grade ETL/ELT pipelines at scale.
- Strong proficiency in Python (PySpark, scripting, API integrations, pipeline automation).
- Hands-on experience with Databricks (notebooks, jobs, workflows, Unity Catalog) and AWS (Lambda, ECS/Fargate, S3, Glue, Athena, DynamoDB, EventBridge, Step Functions, IAM).
- Expertise in data modeling and lakehouse architectures (Medallion, Delta Lake, Parquet, schema evolution, incremental upserts).
- Proficiency in SQL and dbt for building modular, tested, and documented models.
- Experience with REST API integration, entity resolution, and record matching strategies.
- Familiarity with Git-based version control and CI/CD for data pipelines.
Benefits
- Competitive benefits package
- Bonus opportunities
- Generous paid time off
- Paid holidays
- Programs designed to support employee well-being and work-life balance
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