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Data Engineer

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Discussion
  1. Design data model or Expand existing data models with new features based on business feedback
  2. Collaborate with the Global and Regional based data integration team to acquire expanded data from source systems
  3. Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  4. Acquiring data from primary or secondary data sources and maintaining databases
  5. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  6. Work with the larger Growth Technology Systems team to help develop and uphold data governance policies and procedures to ensure standardized data naming, establish consistent data definitions and monitor overall data quality for assigned data entities
  7. Filter and clean data by reviewing reports and performance indicators to locate and correct code problems
  8. Analyze and improve performance on existing data models including query optimization, DAX optimization, and processing optimization (partitions).
  9. Build and enhance SQL Server Analysis Services data models
  10. Interpreting data, analyzing results using statistical techniques
  11. Develop or assist in the development of SSRS, Excel, Tableau and Power BI reports
  12. Develop required process documentation and adhere to security compliance

ESSENTIAL FUNCTIONS\:

  1. DW solutioning
  2. Understanding business requirements, source the data, data model design
  3. Assess Data Quality, Data Integration, Migration & Modelling
  4. Handle end to end development
  5. Frequent client interaction

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See also

Data Engineering jobs by country — openings, pay and top skills →

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