Data Cloud Engineer, Eng.3

Comcast West Chester , PA 19388

Posted 3 months ago

Business Unit:

Position Summary

The dx Team has responsibility including Data Engineering for Comcast; one of the major goal is to harmonize the data ingestion and consumption layer across Comcast. Creating enterprise data sources as a single version of truth is a goal of dx Team.

With moderate guidance, the Data Engineer will develop (code/program), test, and debug ETL (Extract/Transform/Load) of data to answer technically challenging business requirements (complex transformations, high data volume).

All work needs to be documented.

Employees at all levels are expect to:

  • Understand our Operating Principles; make them the guidelines for how you do your job

  • Own the customer experience-think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services

  • Know your stuff-be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences

  • Win as a team-make big things happen by working together and being open to new ideas

  • Be an active part of the Net Promoter System-a way of working that brings more employee and customer feedback into the company-by joining huddles, making call backs and helping us elevate opportunities to do better for our customers

  • Drive results and growth

  • Respect and promote inclusion and diversity

  • Do what's right for each other, our customers, investors and our communities

Core Responsibilities

  • Analyzes and determines data integration needs

  • Evaluates and plans software designs, test results and technical manuals using AWS

  • Evaluates and plans software designs, test results and technical manuals using Big Data (Hadoop) ecosystem

  • Reviews literature, current practices relevant to the solution of assigned projects in Data Warehousing and Reporting areas

  • Programs new software using Spark, Scala, Kafka, Sqoop, SQL

  • Data Streaming like KAFKA, KENESIS etc.

  • Supports existing and new applications and customization of current applications

  • Edits and reviews technical requirements documentation

  • Displays knowledge of software engineering methodologies, concepts, skills and their application in the area of specified engineering specialty (like Data warehousing)

  • Displays knowledge of, and ability to apply, process software design and redesign skills

  • Displays in-depth knowledge of, and ability to apply, project management skills

  • Works independently, assumes responsibility for job development and training, researches and resolves questions and problems, requests supervisor input and keeps supervisor informed required

  • Consistent exercise of independent judgment and discretion in matters of significance

  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary

  • Other duties and responsibilities as assigned

Education Level

Bachelor's Degree or Equivalent

Years of Experience
5-8 years of experience working as data integration developer, AWS, Hadoop, Spark, SQL Developer, ETL developer or related experience is required.

Field of Study

Computer Science, Engineering

Compliance

Comcast is an EEO/AA/Drug Free Workplace

Disclaimer

The above 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

Additional Information

Daily Responsibilities:

Technologies used day to day

AWS, Linux, Hadoop, Spark, UC4, SQL, Linux Shell Scripting

Business Units -what group(s) does the role support

dx and dx business partner initiatives

Paired Programming/Vs. Individual tasks-what does that look like.

Project Details:

Requirements:
10% paired programming / Vs. 90% Individual tasks

Ingest data from various sources to create a harmonized layer of data. The dx team has responsibility including Data Engineering for Comcast; one of the major goal is to harmonize the data ingestion and consumption layer across Comcast.

AWS, Spark, RDBMS, SQL, Linux, Structured programming language like Java, C++, C#.

Hadoop, Java, CI/CD, Scheduling Tool.

Comcast is an EOE/Veterans/Disabled/LGBT employer


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Data Cloud Engineer, Eng.3

Comcast