Data Quality Analyst/Engineer

Our client is seeking a
Data Quality Analyst/Engineer
to play a key role in ensuring data accuracy and consistency as they migrate from legacy systems to a modern, cloud-based environment. This position requires expert-level
SQL skills
and a strong foundation in
data validation, testing, and governance
. Experience with Databricks and Power BI will be a major plus.

Key Responsibilities

• Validate and test data migrations and transformations using advanced SQL and Databricks.
• Perform data profiling, source-to-target mapping, and reconciliation to ensure data integrity.
• Define and enforce data quality standards, metrics, and monitoring processes.
• Identify and investigate anomalies, inconsistencies, and schema drift.
• Collaborate with data engineering teams to automate and scale data quality checks.
• Validate Power BI reports and dashboards for accuracy against source systems.
• Conduct root cause analysis and document findings with remediation plans.

Core Focus Areas

• Data Validation and Profiling
• Data Quality Standards and Governance
• Continuous Data Quality Monitoring
• Testing and Validation of Data Pipelines
• Root Cause Analysis and Reporting

Required Qualifications

• 3–5 years of hands-on experience in data quality, validation, and testing roles.
• Expert-level SQL skills
  (required).
• Strong proficiency in
  Excel
  for data validation and reporting.
• Experience with
  ETL validation
  ,
  data profiling
  , and
  data governance best practices
  .
• Bachelor's degree in Computer Science, Data Management, or a related field.

Preferred Skills

• Experience with
  Databricks
  for ETL testing and data analysis.
• Familiarity with
  Power BI
  for validating reports and dashboards.
• Working knowledge of
  Azure
  environments and
  Agile
  development practices.

This is a remote contract role that requires US Citizen or Green Card status.