Engineer 4, Data Engineering - 6318

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• 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
• Guide and mentor junior-level engineers

• Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field
• 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
• Developing software using Python, ETL, Pentaho, Informatica, Scala, and Spark
• Querying data in Oracle, MongoDB, and Teradata databases using SQL
• Creating data visualizations using Tableau, ThoughtSpot, and Excel

• Paid Time off
• Physical Wellbeing
• Financial Wellbeing
• Emotional Wellbeing
• Life Events + Family Support

Make your mark at Comcast -- a Fortune 30 global media and technology company. Become part of our award-winning, international engineering team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love.