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Vrinda International

AZURE DATA ENGINEER

Vrinda International Hyderabad, Telangana, India

Human Resources Services · 2-10 employees

Sep 03
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design and develop scalable ETL/ELT pipelines on Azure while optimizing data solutions using Databricks and PySpark. Implement Medallion Architecture and develop robust workflows using Airflow and dbt to support analytics and reporting.

What they look for

Azure Databricks PySpark SQL dbt Apache Airflow Azure Data Lake Medallion Architecture Data Modelling Star Schema Snowflake Schema CI/CD GitHub Azure DevOps Data Quality Data Governance AI/ML

Requirements

Requires 5–8 years of relevant Azure Data Engineering experience with strong expertise in Databricks, PySpark, SQL, dbt, and Airflow. A Databricks certification and hands-on dbt experience are mandatory for this role.

Full description

HIRING | AZURE DATA ENGINEER

Location: Bangalore | Hyderabad

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

Azure Databricks

PySpark & SQL

dbt

Apache Airflow

Azure Data Lake

Medallion Architecture – Bronze/Silver/Gold

Data Modelling – Star & Snowflake Schemas

CI/CD, GitHub / Azure DevOps

Data Quality & Governance

Analytics, Reporting & AI/ML Data Platforms

Databricks Certification – Mandatory

Hands-on dbt experience – Mandatory

KEY RESPONSIBILITIES

  • Design and develop scalable ETL/ELT pipelines on Azure.
  • Build and optimize data solutions using Databricks and PySpark.
  • Implement Medallion Architecture for efficient data processing.
  • 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.

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