Description

You will own quality assurance and engineering tasks for data pipelines, ensuring data validity, compliance, and process efficiency.

This role is on-site.

Responsibilities

• Perform data validation and regression testing for ETL processes.
• Develop automated QA frameworks for data pipelines.
• Ensure adherence to data quality standards and regulatory compliance.
• Analyze existing business processes and identify improvement opportunities.
• Document workflows and create SOPs for data-related operations.

Required Skills

• 5+ years of professional experience in data engineering or quality assurance.
• Advanced SQL skills for complex queries and performance tuning.
• Hands-on experience with Snowflake, Databricks, and Azure Data Factory (ADF).
• Strong understanding of data governance and quality assurance practices.
• Experience in business process analysis and documentation.
• Familiarity with ETL processes and Microsoft tools.

Preferred Skills

• Familiarity with cloud-native architectures and Agile methodologies.
• Knowledge of Python and data visualization tools (Power BI/Tableau).

Key Skills

Education

Any Gradute