3 days ago
Chennai, IndiaSenior
Responsibilities
- Design, develop, and optimize enterprise-scale data pipelines and ETL/ELT frameworks.
- Build and support scalable data platforms on AWS using S3, Glue, Athena, Redshift, and Lambda.
- Develop ingestion, transformation, integration, data quality, validation, monitoring, and remediation solutions.
- Drive metadata management, data cataloging, data lineage, business glossary, and data governance initiatives.
- Develop data models and accessible data consumption methods, including APIs, database views, and data extracts.
- Implement data solutions across Kubernetes, Teradata, AWS, and Databricks while selecting storage based on sensitivity, privacy, and access requirements.
- Define governance standards, controls, reusable engineering frameworks, and best practices.
- Analyze and resolve complex data quality, reliability, and performance issues.
- Ensure compliance with security, privacy, regulatory, and governance requirements.
- Review code, mentor junior engineers, collaborate cross-functionally, and contribute to operational excellence through monitoring, optimization, and automation.
- Work nights, weekends, or variable schedules as necessary and maintain regular, punctual attendance.
Requirements
- Requires 4.5–7.5 years of experience in Data Engineering, Data Platform Engineering, or related fields; the posting also lists 5–7 years of relevant work experience.
- Bachelor's degree preferred, with consideration for coursework plus experience or extensive related professional experience.
- Strong hands-on Python expertise and advanced experience with PySpark or Apache Spark.
- Strong SQL development, optimization, and data modeling skills.
- Experience with AWS-based data platforms and services and hands-on ETL solution design and maintenance.
- Understanding of modern data architecture, data warehousing, Lakehouse concepts, and Medallion Architecture.
- Experience with Git and CI/CD pipelines.
- Practical data governance implementation experience, including metadata management, data cataloging, data lineage, and data stewardship.
- Exposure to MDM, data compliance, and regulatory requirements.
- Preferred experience includes data quality frameworks and controls, Atlan, data observability, and governance operating models.
- Strong analytical, stakeholder management, mentoring, ownership, and communication skills.
Benefits
- Comcast provides benefits and personalized support intended to support employees physically, financially, and emotionally.
- Non-sales positions may be eligible for a bonus, and eligible employees receive access to the company's benefits program.
Tech Stack
Categories
Data Engineering
About Comcast
Comcast is a U.S.-based media and telecommunications company that sells broadband, video, wireless, and voice services to consumers and businesses under the Xfinity and Comcast Business brands. It also owns NBCUniversal (including NBC, Universal Pictures, and Peacock) and Sky, operating TV networks, film studios, and streaming in the U.S. and Europe. Founded in 1963 and headquartered in Philadelphia, it is publicly traded on Nasdaq (CMCSA).