Senior Data Engineer - Spark/Python

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. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/24/2024