Senior Data Quality Engineer - INTL - India

This role is a highly technical Data Quality Engineer supporting enterprise data validation and quality engineer efforts across the Azure/Databricks platform. As a senior level developer, this role requires expertise in data testing, automation, distributed systems, and modern data architectures. Other key responsibilities include:

• Design and implement end-to-end data validation strategies for pipelines built on Azure Data Factory, Databricks (Delta Lake), and ADLS

• Build and perform large-scale data validation using Python and Spark-based validation frameworks

• Validate data movement, orchestration workflows, and failure handling

• Define and implement data quality SLAs and KPIs along with tracking data/pipeline health

Drive best practices for data quality and testing standards

• 6-8+ years’ experience in data quality engineer, SDET, data engineering testing, etc.

• Strong hands-on experience with Azure Data Factory, Databricks (PySpark), and SQL for data quality validation

• Proven experience building automated data quality frameworks from scratch

• Strong understanding of data governance, lineage, and metadata

Experience integrating with enterprise systems (ERP, CRM, MDM, etc. * Data observability platforms (Monte Carlo, Soda, Datadog)

• Experience building CI/CD data testing pipelines (Azure DevOps / GitHub Actions)

• Streaming Technologies (Kafka, Event Hub)

• Hands-on experience with dbt (Data Built Tool)

• Azure Data Engineer (DP-203) Certification or Databricks Certified Professional

Experience within supply chain or large enterprise data environments