Engineer 4, Data Engineering - 6318

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 manipulating and transforming large, complex data into consumable business databases and applications for self-service analytics and reporting; analyze system and software issues within the telecommunications domain using Einstein, NDW, XM360, and ADH; design software solutions using UML, dataflow, flowcharts, swim lane diagrams, sequence diagrams, and mind maps; implement software solutions using microservices, AWS cloud computing, and Big Data platforms including Databricks, Spark, and BPM flows; develop software using Python, ETL, Pentaho, Informatica, Scala, and Spark programming languages; query data in Oracle, MongoDB, and Teradata databases using SQL; create data visualizations using Tableau, ThoughtSpot, and Excel for telecom and mobile/wireless operations, and major billing systems including Amdocs, Cable Services Group(CSG), and Ascendon; create system architecture, design and developing specifications using in-depth engineering skills and knowledge to solve difficult development problems and achieve engineering goals; work closely with a variety of team members to clearly define data product requirements and technical roadmaps; determine and source appropriate data for a given analysis; work with data modelers and analysts to understand the business problems they are trying to solve, and create or augment data assets to feed their analysis; integrate knowledge of business and functional priorities; 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 analyzing system and software issues within the telecommunications domain using customer care tools, billing systems, and data warehouse systems; designing software solutions using UML, dataflow, flowcharts, swim lane diagrams, sequence diagrams, and mind maps; implementing software solutions using microservices, AWS cloud computing, and Big Data platforms including Databricks, Spark, and BPM flows; of which three (3) years include developing software using Python, ETL, Pentaho, Informatica, Scala, and Spark; querying data in Oracle, MongoDB, and Teradata databases using SQL; and creating data visualizations using Tableau, ThoughtSpot, and Excel.

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

Extract Transform Load (ETL), Python (Programming Language), Tableau (Software)

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