Data Engineer 2 at Comcast

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

17 Oct, 26

Salary

0.0

Posted On

19 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipeline Development, ETL Design, Data Warehousing, Kubernetes, Teradata, Databricks, AWS S3, AWS Redshift, API Development, Data Governance, Data Lineage, Data Migration

Industry

Telecommunications

Description

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 job is integral to the development and optimization of data structures and pipelines, ensuring quality and efficient data flow. It supports advanced analytics and machine learning initiatives, while also managing data storage solutions. The role requires collaboration with partners for process optimization and adherence to data governance standards. Job Description Responsibilities: Developing data structures and pipelines to collect, standardize, and transform data for insight generation and reporting Ensuring data quality throughout ingestion, processing, and loading to target tables, with a focus on standardization and transformation rules Creating ingestion frameworks for various data types and establishing methods for data consumption through views, extracts, and APIs Maintaining data warehouses and lakes, including API development for data access, while managing solutions on Kubernetes, Teradata, and Databricks platforms Determining suitable storage solutions on-prem (minIO, Teradata) and cloud (AWS S3, Redshift) based on data sensitivity and access requirements Understanding data lineage and transformation to enable efficient troubleshooting and impact analysis during system changes Collaborating with technology partners to optimize data sourcing, processing rules, and ensure process optimization and data quality Handling data migrations and conversions in response to evolving platforms and new standards, while recognizing and resolving technical issues Designing and monitoring ETL processes to support efficient data flow and collaborating with analytics teams for model deployments Participating in code reviews and contributing to data governance and compliance efforts in adherence to industry regulations Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned. 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 2-5 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.

Responsibilities

Develop and optimize data structures and pipelines to ensure efficient data flow for analytics and machine learning. Manage data storage solutions across on-prem and cloud platforms while adhering to data governance standards.