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Senior Azure Data Engineer

4 months ago

Anywhere in IndiaMultiple Locations Softtech Career Infosystem Pvt. Ltd. Full time

Job Description :

- Design and implement Azure cloud-based Data Warehousing and Governance architecture with Lakehouse paradigm

- Integrating technical functionality, ensuring data accessibility, accuracy, and security.

- Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces.

- Define and organize data assets (structured and unstructured) within the Unity Catalog.

- Enable data analysts and etl engineers to discover and classify data, notebooks, dashboards, and files across clouds and platforms.

- Implement a single permission model for data and AI assets.

- Define access policies at a granular level (rows, columns, features) to ensure secure and consistent access management across workspaces and platforms.

- Leverage Delta Sharing to enable easy data sharing across regions, and platforms.

- Ensure that data and AI assets can be securely shared with minimal replication, maintaining a unified experience for users.

- Monitoring and Observability: utilize AI to automate monitoring, diagnose errors, and maintain data and quality.

- Set up alerts for personally identifiable information (PII) detection, and operational intelligence.

- Work closely with data scientists, analysts, and engineers to promote adoption of the Unity Catalog.

- Provide training and documentation to ensure effective usage and compliance with governance policies.

Skills :

- Designed data warehouse and data lake solutions along with data processing Pipeline using PySpark using Databricks

- Performed Data Modelling on Databricks (Delta Table) for transactional and analytical need.

- Designed and developed pipelines to load data to Data Lake

- Databricks Platform Proficiency, including its components like Databricks SQL, Delta Live Tables, Databricks Repos, and Task Orchestration.

- Deep understanding of data governance principles, especially related to data cataloging, access control, lineage, and metadata management.

- Strong SQL skills for querying and managing data

- Ability to design and optimize data models for structured and unstructured data.

- Understand how to manage compute resources, including clusters and workspaces.

- Ability to adapt to changes and emerging trends in data engineering and governance.

- Involved in hands on development and configuration of Unity Catalog

(ref:hirist.tech)