IN_Manager_ Azure Data Engineer_ Data and Analytics_Advisory_Hyderabad

Job Description & Summary:

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Job Position Title:

IN_Manager_ Azure Data Engineer_ Data and Analytics_Advisory_Hyderabad

Responsibilities:

• Develop, implement, and maintain enterprise-wide data governance policies, procedures, and standards within the Azure ecosystem.

• Leverage Azure Purview to manage data catalogs, lineage, classification, and metadata across multiple data sources.

• Design and implement data access controls, data stewardship models, and compliance monitoring using Databricks Unity Catalog.

• Build and maintain data quality and validation frameworks using PySpark, Python, and SQL within Azure Databricks environments.

• Collaborate with engineering teams to embed governance standards into data pipelines and workflows.

• Monitor adherence to data governance policies and regulatory compliance (e.g., GDPR, HIPAA) leveraging Azure and Databricks tools.

• Utilize Databricks Genie or similar orchestration tools for automated workflow scheduling and job monitoring with governance checks.

• Develop dashboards, reports, and alerts to track key data governance metrics and incidents.

• Conduct training and awareness sessions to enhance data governance literacy across the organization.

• Work across cross-functional teams including legal, security, risk, and business units to align governance strategies.

• Stay current with emerging trends and best practices in data governance and cloud data platforms.

Mandatory skill sets:

Azure DE

Preferred skill sets:

Pyspark, Python

Years of experience required:

8+ Years

Education qualification:

B.Tech, M.tech, MBA