JobCubby JobCubby
Sign up
Vrinda International

AZURE DATA ENGINEER

Vrinda International Bengaluru, Karnataka, India · ₹800K–₹2M/yr

Human Resources Services · 11-50 employees

3 d ago
data-engineer Principal (10+ yrs) Full-time India
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

Design and implement enterprise-grade data solutions using Azure Synapse and Databricks while managing data governance frameworks. Develop sophisticated data models, optimize SQL performance, and create interactive Power BI dashboards to support strategic decision-making.

What they look for

Azure Synapse Analytics Azure Databricks Unity Catalog PySpark Python SQL Data Modeling Power BI Generative AI Databricks Genie Data Engineering Data Pipelines Database Performance Optimization Data Governance Analytics

Requirements

Requires 8 to 12 years of professional experience in data engineering with deep expertise in Azure ecosystems. Candidates must be proficient in PySpark, Python, SQL, and modern data architecture design.

Full description

Summary

We are seeking a highly skilled Azure Data Engineer to join our IT Services team. In this pivotal role, you will design, build, and maintain robust data solutions that drive business intelligence and analytics. You will be responsible for architecting scalable data pipelines and leveraging advanced technologies to transform raw data into actionable insights, ensuring our organization stays at the forefront of data innovation.

Responsibilities

  • Design and implement enterprise-grade data solutions using Azure Synapse Analytics and Azure Databricks.
  • Develop sophisticated data models and optimize database performance through advanced SQL scripting and data modeling techniques.
  • Create interactive dashboards and reports using Power BI to support strategic decision-making across the organization.
  • Engineer scalable data processing workflows utilizing PySpark and Python for complex data transformations and analysis.
  • Implement and manage data governance frameworks, including the use of Unity Catalog within the Azure Databricks ecosystem.
  • Explore and integrate Generative AI capabilities, specifically leveraging tools like Databricks Genie, to enhance data processing and analytics.
  • Collaborate with cross-functional teams to define data requirements and deliver high-quality engineering solutions.

Requirements

Requirements:

  • Possess 8 to 12 years of professional experience in data engineering and related technical fields.
  • Demonstrate deep expertise in Azure Synapse, Azure Databricks, and Unity Catalog environments.
  • Show proficiency in Generative AI applications, including experience with Databricks Genie.
  • Be highly skilled in PySpark and Python for coding, scripting, and data manipulation tasks.
  • Exhibit strong command of SQL and SQL scripting for complex query optimization and data extraction.
  • Have a proven track record in data modeling and architecture design.
  • Display the ability to create compelling visualizations and reports using Power BI.
  • Hold a competitive salary expectation aligned with the market range of ₹22-24 LPA.

Similar roles