Senior Data Engineer-3366

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Job Description

DUTIES: Provide technical leadership in creating, maintaining, and designing data pipelines using PostgreSQL, BigQuery, and PySpark; develop and automate ETL processes using Python, Glue, and Airflow; develop data visualizations using Kibana and Tableau; process data on cloud platforms including AWS and Google Cloud Platform (Google Cloud Platform); perform data analysis to discover opportunities and address gaps; automate any manual processes; create scalable big data solutions; build reports to provide actionable insights from data; perform analysis for query optimization; work with data scientists and wireless engineers on WiFi CX optimization using AI/ML techniques; work with stakeholders and executives to create the requirements for data related needs; build business insights that could help create future deployment strategy; solve critical issues and shares knowledge such as trends, aggregate, quantity volume regarding specific data sources; and guide and mentor junior-level engineers. Position is eligible to work remotely one or more days per week, per company policy.

REQUIREMENTS: Bachelor's degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and five (5) years of experience creating, maintaining, and redesigning data pipelines using PostgreSQL, BigQuery, and PySpark; developing and automating ETL processes using Python, Glue, and Airflow; developing data visualizations using Kibana and Tableau; of which three (3) years include processing data on cloud platforms including AWS and Google Cloud Platform (Google Cloud Platform).

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
Kibana, PostgreSQL, Python (Programming Language)

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