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

Comcast • Philadelphia, PA

82d • Remote

About The Position

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.

Requirements

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

Responsibilities

• 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.
• Identify and recommend framework changes to increase performance and scalability.

What This Job Offers

• Job Type: Full-time
• Industry: Telecommunications
• Education Level: Bachelor's degree