Senior Engineer, Enterprise BI & AI/ML Engineering-4038

Posted:
10/3/2024, 8:43:53 AM

Location(s):
Philadelphia, Pennsylvania, United States ⋅ Pennsylvania, United States

Experience Level(s):
Senior

Field(s):
DevOps & Infrastructure ⋅ Software Engineering

Workplace Type:
Remote

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

Job Description

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DUTIES:                               Create and fully support enterprise level ETL processes using Agile methodologies and Agile project management; architect, develop, build, and test ETL pipeline software for master data assets using Python, Databricks, Spark, IICS and Kubernetes; schedule ETL jobs using Airflow; use Teradata for data marts; write SQL queries; perform Dockerization/Containerization using Kubernetes; write Linux Shell scripts; support the architecture, design, development, qualification, and deployment of applications consistent with product and technical roadmaps; work with engineering project management and principle engineers to deliver applications that meet or exceed product requirements, project schedules and reliability; develop and apply performance and bandwidth models for interactive applications to document network impacts; work with product development and operations teams to define technical requirements to accompany existing product and operation requirements; design and develop use cases in support of the technical requirements; transform technical requirements into architecture; assists in vendor technical selection and management; interface with test teams to validate test plans and procedures; work closely with development, integration and test teams to ensure product quality; and prepare deliverables for trial and market readiness. Position is eligible for 100% remote work.

REQUIREMENTS:             Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and two (2) years of experience architecting, designing, building, and testing ETL pipeline software using Python and Databricks; scheduling ETL jobs using Airflow; using Teradata for data marts; and writing SQL queries; of which one (1) year includes performing Dockerization and Containerization using Kubernetes; writing Linux Shell scripts; and using Agile methodologies in a software development setting.


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.

Skills

Agile Methodology, Data Mart, Extract Transform Load (ETL), Kubernetes

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.

Comcast is proud to be 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.