Senior Data Quality Analyst

Job Title: Senior Data Quality Engineer

Job Summary:

Senior Data Quality Engineer

Key Responsibilities:

• Design and implement

  data quality validation frameworks

  and automation pipelines across Azure, Databricks, SQL, and MongoDB environments.
• Define and monitor

  data quality KPIs, policies, and rules

  across structured and unstructured data sources.
• Build and maintain scalable data quality monitoring tools and dashboards across BI platforms like

  Power BI

  ,

  Tableau

  , and

  SSRS

  .
• Work with data engineers and architects to

  embed quality checks

  into ETL/ELT pipelines and

  Data Lakehouse

  architectures.
• Perform

  data profiling, anomaly detection

  , and in-depth root cause analysis for identified data issues.
• Develop and maintain

  metadata and data lineage documentation

  using governance and catalog tools.
• Collaborate with data stewards and business teams to implement

  data ownership and stewardship practices

  .
• Support

  data SLA enforcement

  and ensure alignment with reporting, compliance, and business processes.
• Research, evaluate, and integrate

  modern data quality tools and technologies

  to improve scalability and automation.
• Assist with

  audit readiness

  and ensure all data flows and processes meet regulatory and compliance standards.

Preferred Qualifications:

• 5+ years

  of experience in

  data engineering

  ,

  data quality

  , or

  data governance

  roles.
• Strong experience with

  data quality frameworks

  , data validation scripts, and automation tools.
• Proven hands-on expertise in

  Azure Data Services

  (ADF, Synapse, Data Lake),

  Databricks

  , and

  SQL-based systems

  .
• Experience on any of the

  data cataloging tools

  like

  Purview

  ,

  Collibra

  .
• Experience with

  Power BI

  ,

  Tableau

  , or

  SSRS

  for reporting and data visualization.
• Familiarity with

  metadata management

  ,

  data lineage

  , and

  profiling tools

  .
• Excellent problem-solving skills with the ability to perform

  root cause analysis

  and recommend long-term fixes.
• Strong communication and collaboration skills across technical and non-technical teams.
• Prior experience in building

  reusable data quality components

  and CI/CD integration is a plus.

Nice to Have:

• Experience in

  real estate domain

  with strong data compliance requirements.
• Exposure to

  AI/ML-based anomaly detection

  or

  data observability platforms

  (e.g., Great Expectations).

  Role & responsibilities