Job Description
Comcast
Data Engineer
Full -Time
Chennai, TN, IN
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.
Any Bachelor's Degree
0- 2 Years
1. Understand our Operating Principles; make them the guidelines for how you do your job.
2. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
3. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
4. Win as a team - make big things happen by working together and being open to new ideas.
5. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
1. Develops data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize and transform data that helps generate insights and address reporting needs.
2. Focuses on ensuring data quality during ingest, processing as well as final load to the target tables.
3. Creates standard ingestion frameworks for structured and unstructured data as well as checking and reporting on the quality of the data being processed.
4. Creates standard methods for end users / downstream applications to consume data including but not limited to database views, extracts and Application Programming Interfaces.
5. Develops and maintains information systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces.
6. Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks.
This information has been designed to indicate the general nature and level of work performed by employees in this role.
