Senior Data Engineer
7 days ago
Role Overview :
- Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Writes unit/integration tests, contributes to engineering wiki, and documents work. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Works closely with a team of frontend and backend engineers, product managers, and analysts.
- Defines company data assets (data models), spark, spark SQL, and hive SQL jobs to populate data models.
- Designs data integrations and data quality framework.
- Designs and evaluates open source and vendor tools for data lineage.
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Area of Expertise :
- Experience in Cloud platform, e.g., AWS, GCP, Azure, etc.
- Experience in distributed technology tools, viz. SQL, Spark, Python, PySpark,
- Performance Turing - Optimize SQL, PySpark for performance.
- Airflow workflow scheduling tool for creating data pipelines.
- GitHub source control tool & experience with creating/ configuring Jenkins pipeline.
- Proficient in Databricks, Airflow.
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