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

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

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