Data Engineer

Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Databricks Unified Data Analytics Platform

Good to have skills : NA

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and provide innovative solutions that enhance data accessibility and usability.

Job Description: Senior Analyst Databricks Unity Catalog

**Role Overview**

The Senior Analyst will support enterprise data management initiatives by ensuring data integrity, compliance, and governance across **Azure Databricks environments**. This role focuses on operational excellence, troubleshooting, and enabling business teams with secure, high-quality data.

**Key Responsibilities**

• Support data provisioning and workspace setup in **Azure Databricks**, ensuring compliance with enterprise policies.
• Create and manage Python notebooks, implement data masking, and develop UDFs (SQL/Python).
• Troubleshoot data pipelines and ensure data quality across ETL processes.
• Design and maintain data models and schemas aligned with Unity Catalog and governance practices.
• Monitor performance, identify delays, and recommend optimizations for data pipelines.
• Ensure compliance with data security regulations using Databricks and Privacera features.
• Document metadata, lineage, and governance standards for enterprise data assets.
• Collaborate with data scientists, engineers, and business analysts to translate requirements into scalable solutions.
• Provide reporting and insights on SLA adherence, pipeline performance, and governance metrics.
  
  

**Required Skills & Qualifications**

• **58 years of overall IT/data experience**, with at least **3+ years of hands-on experience in Azure Databricks**.
• Proficiency in **SQL and Python** for data analysis, troubleshooting, and automation.
• Familiarity with Unity Catalog, Privacera, and Collibra for governance and compliance.
• Strong understanding of ETL processes, data modeling, and schema design.
• Experience with **Azure infrastructure provisioning** (ADLS Gen2, Key Vault, Azure AD).
• Knowledge of data governance frameworks, metadata management, and compliance standards.
• Ability to work in complex, ambiguous environments and foster collaboration across teams.
  
  

**Preferred Qualifications**

• Databricks Certified Data Analyst or Data Engineer certification.
• Microsoft Certified: **Azure Data Engineer Associate** or **Azure Administrator Associate**.
• Experience with Collibra, Informatica, or similar governance tools.
• Exposure to ML/AI data requirements and operationalization of models.
• Strong business analysis and stakeholder communication skills.
• Prior experience in enterprise-scale data governance or compliance projects.
• A 15 years full time education is required.