Sr. Software Engineer - Data Quality

Data Engineering

Sr. Software Engineer - Data Quality

  • Data Engineering
  • Azure Data Factory
  • Microsoft Power BI
  • Integration Services (SSIS)
  • Reporting Services (SSRS)
  • Fivetran
  • Snowflake
  • XML
  • SQL
  • JSON

We are looking for a highly motivated Data Quality Engineer for Enterprise Data Management.

The responsibilities include:

  • Develop data quality and testing plans to validate data pipelines
  • Take ownership of end to end data quality and rules implementation
  • Develop data quality and testing plans to validate KPIs & quality trends for the data across multiple systems
  • Design, develop and implement automation testing, data quality processes and requirements
  • Execute and automate test cases, and track data issues
  • Actively engage in data validation technology discovery and implementation for on-prem and cloud
  • Incorporate data quality standards and best practices into data pipelines
  • Manage version control and coordinate changes across team
  • Participate in architecture design and discussions
  • Be part of the Agile team to collaborate and to help shape requirements
  • Solve complex data issues around data integration, unusable data elements, unstructured data sets, and other data processing incidents
  • Supports the development and design of the internal data integration framework
  • Works with system owners to resolve source data issues and refine transformation rules
  • Partner with enterprise teams, data scientist, architects to define requirements and solution

What you'll bring to the table:

  • 5 to 8 years of experience in highly technical data organization supporting Business Intelligence projects
  • Extensive hands on experience with SQL
  • Experience with Microsoft Stack - SQL, SSIS, etc.
  • Experience with report generating technology like SSRS or PowerBI
  • Possess strong analytical skills with the ability to analyze, profile and validate data to identify potential data quality issues
  • Experience with the Agile development process preferred
  • Experience with big data environment and validation
  • Proven track-record of excellence and consistently delivered tasks in hand successfully
  • Experience with XML, JSON, CSV, etc. file format
  • Have excellent interpersonal and written/verbal communication skills
  • Manage financial information in a confidential and professional manner
  • Be highly motivated and flexible
  • Effectively handle multiple projects simultaneously and pay close attention to detail
  • Have experience in a multi-dimensional data environment

Nice to have:

  • Snowflake
  • Cloud transformation tools like Data Build Tool
  • Azure Data Factory
  • FiveTran
  • Azure DevOps

This is a contract position. 😎