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 role concentrates on advanced data structures and pipelines development and maintenance, upholding quality and integrity in diverse storage solutions. It involves optimizing data flows, mentoring junior engineers, and contributing to internal tool development. The role serves as a key expert, providing strategic guidance and innovative solutions in data engineering.
Job Description
Freewheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.
Location: CIEC, Chennai
Job Summary
Responsible for designing, building, and optimizing scalable data pipelines and platforms to support analytics, reporting, and downstream applications. Develop data structures, ingestion frameworks, and transformation logic to ensure high-quality, reliable data processing across cloud environments.
Works with large-scale data systems using technologies such as Snowflake, Databricks, and distributed processing frameworks. Ensures strong data quality, governance, and lineage for reliable insights and decision-making.
Collaborates with cross-functional teams to improve data sourcing and processing efficiency, while contributing to architectural standards and best practices. Acts as a key contributor in complex, high-impact environments, leads cross-team initiatives, mentors engineers, and drives improvements in data engineering tools and frameworks.
Job Description
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- 8–10+ years of experience in Data Engineering or related roles
- Advanced SQL with strong query optimization expertise
- Proficiency in Python (preferred) or similar programming languages
- Experience with distributed computing frameworks (e.g., Apache Spark) or Snowflake
- Proficiency in cloud data warehouse management, workflow orchestration & automation (e.g., dbt, Airflow)
- Experience with at least one cloud platform (AWS, GCP, Azure)
- Experience with data pipeline design patterns, data modeling & data observability
- Experience with Snowflake/Databricks.
- Knowledge of data quality, validation, and monitoring frameworks
- Understanding of data lineage and impact analysis
- Experience with CI/CD implementation and deployment processes
- Core Transition: From Leading to Shaping. Leads cross-team initiatives and establishes best practices
Responsibilities
- Develop data structures and pipelines to standardize and transform data, ensuring insights generation and reporting requirements are met
- Ensure data quality across ingestion, processing, and loading into target tables, maintaining high standards
- Create ingestion frameworks for structured and unstructured data with quality checks and reporting mechanisms
- Establish methods for data consumption by end users and downstream applications, including database views and APIs
- Implement data solutions on platforms like Snowflake, and Databricks, ensuring alignment with architectural standards
- Choose data storage solutions tailored to sensitivity and access needs using platforms like AWS S3, Iceberg and Snowflake
- Determine appropriate data storage on platforms based on privacy, access, and sensitivity requirements
- Understand data lineage and transformation rules for efficient troubleshooting and impact analysis during changes
- Collaborate with management partners to optimize data sourcing and processing, enhancing data quality and process efficiency
- Mentor junior data engineers, fostering skill development and knowledge sharing within the team
- Contribute to the creation and refinement of internal data engineering tools and frameworks to improve efficiency and scalability
Employees at all levels are expected to:
Understand our Operating Principles; make them the guidelines for how you do your job.
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.
Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team make big things happen by working together and being open to new ideas.
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.
Drive results and growth.
Support a culture of inclusion in how you work and lead.
Do what's right for each other, our customers, investors and our communities.
Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life.
Please visit the benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Certifications (if applicable)
Relevant Work Experience 7-10 Years
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
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