Data Engineer 3

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 building and optimizing scalable data pipelines and data solutions to support analytics, reporting, and downstream applications. Develops efficient SQL-based transformations, ingestion frameworks, and reusable data processing logic to ensure high-quality, reliable data delivery across cloud environments. 

Works with data platforms such as Snowflake, Databricks, and distributed processing frameworks, with a strong focus on advanced SQL, programming proficiency, and cloud-based data engineering. Ensures data quality, governance, and lineage to support accurate insights and dependable decision-making. 

Collaborates with cross-functional teams to improve data sourcing, processing efficiency, and operational reliability. Acts as a strong individual contributor in complex environments, supports junior engineers, and helps improve internal data engineering tools and frameworks. 

Job Description 

Skills and Experience 

• 4–6+ years of experience in Data Engineering  

• Advanced SQL with strong query writing and optimization expertise 

• Strong proficiency in Python (preferred) or similar programming languages 

• Experience with at least one cloud platforms such as AWS, GCP, or Azure 

• Experience with Snowflake/Databricks. 

• Exposure to distributed computing frameworks such as Apache Spark 

• Exposure to cloud data warehouse management, workflow orchestration & automation (e.g., dbt, Airflow) 

• Experience with CI/CD implementation and deployment processes 

• Ability to work independently while contributing to team standards and best practices 

Responsibilities 

• Develop and maintain data structures and pipelines to standardize and transform data for analytics and reporting needs 

• Write efficient SQL queries and transformations to support reliable data processing 

• Ensure data quality across ingestion, processing, and loading into target tables 

• Build ingestion frameworks for structured and unstructured data with validation and quality checks 

• Establish data consumption methods for end users and downstream applications such as views and APIs 

• Implement data solutions on platforms like Snowflake and Databricks in alignment with architectural standards 

• Use cloud storage and processing technologies such as AWS S3, Iceberg, and Snowflake based on data requirements 

• Define and maintain data lineage and transformation logic for troubleshooting and impact analysis 

• Collaborate with stakeholders to improve data sourcing, processing efficiency, and overall data quality 

• Support and mentor junior data engineers through knowledge sharing and technical guidance 

• Contribute to the improvement of internal data engineering tools, frameworks, and automation to enhance efficiency and scalability