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"Data Engineer"
Location:
US-PA-Linden
Jobcode:
84be10365e11811e719fa7aca56867fa-122020
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Job Description:



Role: Senior Data Engineer



Location: Pittsburgh, PA



Job type: FTE/Permanent



 



Responsibilities




  • Engineering solutions to aggregate and automate large-scale data flows from varying sources

  • Working as part of a cross-functional team (Product, Data Science and Data Integration) to build scalable data solutions

  • Work with product owners in an agile environment to analyze requirements and translate them into functioning software

  • Provide mentoring to and collaboration with other team members

  • Provide technical leadership to more junior team members



 



Qualifications




  • Bachelor’s degree in Computer Science, Engineering, related quantitative fields, or equivalent experience

  • 5-10 years of experience as a Data Engineer or in a related field (i.e., Business Intelligence Engineer, Data Warehouse Developer, Data Scientist, etc.) with a strong track record of working with large datasets

  • Expertise in data modeling, ETL development, and data warehousing plus hands-on experience with different data warehouse and processing technologies such as AWS Redshift, Oracle, PostgreSQL, Hadoop, Spark, etc.

  • Hands-on experience with cloud computing and Linux-based systems

  • Demonstrable skills and experience using SQL with large data sets (e.g., Oracle, SQL Server, Redshift)

  • Proven track record of successful communication of data infrastructure, data models, and data engineering solutions through written communication, including an ability to effectively communicate with both business and technical teams

  • Shows curiosity and an ability to learn quickly, especially new technology and processes

  • Approaches all work with a team-based/collaborative orientation



 



Bonus Points




  • Master’s degree in Computer Science, Engineering, or related quantitative fields

  • Experience with AWS technologies Redshift, RDS, S3

  • Experience with reporting tools like Tableau, Excel, or other BI packages

  • Familiarity with statistical models and data mining algorithms

  • Experience with ETL tools including Pentaho, Talend, or Informatica



 


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