Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
Job Summary
This job is integral to the development and optimization of data structures and pipelines, ensuring quality and productive data flow. It supports advanced analytics and machine learning initiatives, while also managing data storage solutions. The role requires collaboration with partners for process optimization and adherence to data governance standards.
Job Description
Responsibilities:
- Developing data structures and pipelines to collect, standardize, and transform data for insight generation and reporting
- Ensuring data quality throughout ingestion, processing, and loading to target tables, with a focus on standardization and transformation rules
- Creating ingestion frameworks for various data types and establishing methods for data consumption through views, extracts, and APIs
- Maintaining data warehouses and lakes, including API development for data access, while managing solutions on Kubernetes, Teradata, and Databricks platforms
- Determining suitable storage solutions on-prem (minIO, Teradata) and cloud (AWS S3, Redshift) based on data sensitivity and access requirements
- Understanding data lineage and transformation to enable efficient troubleshooting and impact analysis during system changes
- Collaborating with technology partners to optimize data sourcing
📌 Data Engineer 2 (Chennai)
🏢 Comcast
📍 Chennai
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