About the role : 

As a data engineer you will be responsible for transforming large, complex data into consumable business databases and applications for self-service analytics and reporting. Create system architecture, design and specification using in-depth engineering skills and knowledge to solve difficult development problems and achieve engineering goals. Determine and source appropriate data for a given analysis. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience.

Responsibilities : 

  • Creates technical documentation (internal) using understanding of internal business areas and processes as well as working knowledge of database design, data manipulation, ETL, implementation, information storage & retrieval and data flow & analysis.
  • Preemptively recognize and resolve technical issues utilizing knowledge of policies and processes.
  • Optimize data sources and processing rules to ensure appropriate data quality of all products utilizing trouble-shooting, design and development skills along with cross systems technical knowledge.
  • Solves critical issues and shares knowledge such as trends, aggregate, quantity volume regarding specific data sources.
  • Acts as a subject matter expert in one or more technical areas; such as data architecture, data engineering or data manipulation within big data systems like Hadoop and SQL.
  • Serves as a team leader within a work group or on cross-functional teams; accepts team lead stretch assignments, acts as a resource for colleagues with less experience. Presents to broader senior leadership team. Understands other business units and how they affect the team and work.
  • Acts as a liaison between business owners and technical associates to ensure the data collected and processed is both actionable and relevant to the end goals.
  • Determines appropriateness of data for storage and optimum storage organization. Determines how tables relate to each other and how fields interact within the tables to develop relational models.
  • Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality.
  • 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) and overtime as necessary.
  • Other duties and responsibilities as assigned.

Candidate requirements : 

Education

Bachelor’s Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years

Job Overview
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