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.

They will analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with the client’s data hub, where needed.

• 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, No
  
  SQL-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
• Mar Tech background

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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