AZURE DATA ENGINEER

Vrinda International; Bengaluru, Hyderabad; On-site; INR 2,070,000 - 2,530,000; Full time

Job summary

Vrinda International Bangalore/Hyderabad hybrid is seeking an experienced Azure Data Engineer to design scalable data pipelines on Azure, using Databricks, PySpark and dbt for analytics and AI/ML data platforms.

You will implement data models, data quality and governance, and CI/CD workflows with Airflow, ensuring robust data solutions across Bronze/Silver/Gold medallion architecture. Ideal candidate has 5–8 years in Azure data engineering and a Databricks certification.

Qualifications

• 5–8 years of Azure Data Engineering experience.
• Strong Databricks, PySpark, SQL, dbt and Airflow expertise.
• Databricks Certification mandatory.

Responsibilities

• Design and develop scalable ETL/ELT pipelines on Azure.
• Build and optimize data solutions using Databricks and PySpark.
• Develop robust workflows using Airflow and dbt.
• Create efficient data models for analytics and reporting.
• Follow CI/CD, governance, and data quality best practices.

Skills

PySpark & SQL

dbt

Medallion Architecture

Data Modelling

Data Quality & Governance

Analytics, Reporting & AI/ML Data

Databricks Certification

Airflow

Tools

Databricks

Airflow

dbt

Job description

Bangalore | Hyderabad, India | Posted on 09/03/2026

Job Description

HIRING | AZURE DATA ENGINEER

Experience: 5–8 Years

Work Mode: Hybrid

CTC: Up to ₹23 LPA

ROLE OVERVIEW

We are looking for an experienced Azure Data Engineer with strong expertise in building scalable data pipelines and modern cloud data platforms.

MUST-HAVE SKILLS

• PySpark & SQL
• dbt
• Medallion Architecture – Bronze/Silver/Gold
• Data Modelling – Star & Snowflake Schemas
• Data Quality & Governance
• Analytics, Reporting & AI/ML Data Platforms
• Databricks Certification – Mandatory

KEY RESPONSIBILITIES

• Design and develop scalable ETL/ELT pipelines on Azure.
• Build and optimize data solutions using Databricks and PySpark.
• Develop robust workflows using Airflow and dbt.
• Create efficient data models for analytics and reporting.
• Follow CI/CD, governance, and data quality best practices.

Ideal Candidate: 5–8 years of relevant Azure Data Engineering experience with strong Databricks, PySpark, SQL, dbt and Airflow expertise.