Testing Engineer in Ensitech

We are a company focused on custom software development and have been in the market for over 19 years. At Ensitech, we are dedicated to finding highly specialized talent to work with large companies in the United States, Europe, and Canada.

Each one of our collaborators works with different teams and colleagues around the world in the design and commercialization of software. We look forward to having you as part of our team in the role of Data Testing Engineer.

• Design, execute, and automate data testing strategies for ETL and data pipeline validation.
• Perform both manual data validation and build automated testing solutions for structured and
  semi-structured data.
• Validate and troubleshoot data flows in Databricks, ADF, and SSIS, ensuring accuracy,
  completeness, and consistency.
• Take ownership of data quality tooling, including configuration, monitoring, and
  enhancements.
• Conduct SQL-based testing to compare source and target datasets, identify discrepancies,
  and resolve issues.
• Monitor and test data ingestion, transformation, and storage across cloud and on-prem
  environments.
• Collaborate with business users to support UAT testing activities, gather feedback, and
  document findings.
• Lead UAT meetings, coordinating test plans, issue tracking, and resolution efforts.
• Ensure compliance with data governance policies and best practices.
• Work with data engineers to enhance testing automation frameworks and CI/CD integration.
• Document defects, data anomalies, and test results, providing clear reports to development
  teams.
• Utilize Python, PowerShell, or Bash to develop automated test scripts where applicable.
• Conduct performance and load testing on ETL pipelines to ensure scalability and efficiency.

• 5+ years of experience in data testing, ETL testing, or data quality assurance.
• ​​​​Strong expertise in Databricks with hands-on experience in data validation and
  transformation testing.
• Experience with Azure Data Factory (ADF) and SSIS for ETL workflows.
• Proficiency in SQL with experience writing complex queries for data validation.
• Experience with manual data validation and automating test scenarios.
• Ownership of data quality tooling and experience configuring, managing, and optimizing
  these tools.
• Experience with cloud data platforms (Azure, AWS, GCP) and cloud-based testing
  methodologies.
• Strong understanding of data governance, data lineage, and metadata management.
• Experience leading UAT efforts, coordinating with business users, and ensuring smooth
  execution.
• Strong analytical and problem-solving skills with keen attention to detail.

• Experience with Python, PowerShell, or Bash for automated testing.
• Familiarity with Azure Synapse, Power BI, and big data technologies.
• Understanding of Agile and DevOps methodologies in a data engineering environment.

✅ 100% remote opportunity.
✅ Competitive salary and benefits.
✅ Custom benefit package aligned to your experience and needs.
✅ Work with foreign clients in the US, Europe, and Canada.