Engineer 2, Enterprise BI & AI / ML Engineering-8060

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

DUTIES:                               Contribute to a team responsible for creating tables using SQL within Teradata database; perform object-oriented software development using Python; process big data with Apache Spark; schedule data load jobs using Airflow; perform big data Extract, Transform, and Load (ETL) using Databricks and Kubernetes; store data within cloud platforms, including AWS S3, and on-premise platforms, including MinIO; execute data integration and consolidation projects; contribute to low-level design and test planning; develop and perform unit testing on integration modules; develop large, scalable, and repeatable ETL pipelines to ingest data from various source systems; analyze, profile, and understand the source data and proactively generate suggestions to improve the design or handling of data and technical challenges during project execution; and identify and recommend framework changes to increase performance and scalability. Position is eligible for 100% remote work.

REQUIREMENTS:             Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and one (1) year of experience creating tables using SQL or a relational database; performing object-oriented software development using Python; processing big data with Apache Spark; scheduling data load jobs using Airflow; performing big data Extract, Transform, and Load (ETL) using Databricks and Kubernetes; and storing data within cloud platforms, including AWS S3, and on-premise platforms, including MinIO.

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

Apache Spark, Extract Transform Load (ETL), Kubernetes

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