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. 😎