REMOTE Data Quality Engineer

An employer is looking for a Data Quality Engineer for a remote, contract opportunity. The client is a large retailer, and the Data Quality Engineer should have strong SQL and database experience who can design, develop, and automate data-quality controls across enterprise datasets and pipelines. This individual will validate data accuracy, completeness, consistency, and reliability; identify and troubleshoot data-quality issues; and build automated validation/testing processes using tools such as Jenkins, Selenium, Python, or similar technologies., * Design, develop, and implement integrations based on use feedback.

• Troubleshoot production issues and coordinate with the development team to streamline code deployment.
• Implement automation tools and frameworks (Ci/CD pipelines).
• Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of products.
• Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security.
• Deliver quality customer service and resolve end-user issues in a timely manner
• Draft architectural diagrams, interface specifications and other design documents
• Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy
• Innovate, develop, and drive the development and communication of data strategy and roadmaps across the technology organization to support project portfolio
• Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
• Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
• Define high-level migration plans to address the gaps between the current and future state, typically in sync with the budgeting or other capital planning processes
• Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
• Mentor team members in data principles, patterns, processes and practices
• Promote the reuse of data assets, including the management of the data catalog for reference
• Draft and review architectural diagrams, interface specifications and other design documents

• 3-5+ years’ experience in Data Quality/Data Validation, Database testing and ETL/data pipeline testing (including automated testing and root-cause analysis of data issues)
• Strong experience with SQL for querying tables and investigating whether data is correct
• 2+ years’ experience with automation production systems (Ansible Tower, Jenkins, Puppet, or Selenium)
• SDLC knowledge including how testing fits into development, releases, defects and CI/CD
• Python
• MarTech background