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Comcast
Data Engineer 4
Comcast
Chennai•On-site•8-11 Yrs•6 days ago
Job description
Overview
Comcast brings together the best in media and technology.
Responsibilities
- 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.
- 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
- 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
- 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.
Qualifications
- Proficiency in cloud data warehouse management, workflow orchestration & automation (e.g., dbt, Airflow)
- Knowledge of data quality, validation, and monitoring frameworks
- Understanding of data lineage and impact analysis
- Core Transition: From Leading to Shaping. Leads cross-team initiatives and establishes best practices
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.