Design and develop scalable Azure ETL/ELT pipelines and modern cloud data platforms. Build Databricks and PySpark solutions, implement Bronze/Silver/Gold Medallion Architecture, develop Airflow and dbt workflows, create analytics data models, and maintain CI/CD, governance, and data quality standards.
HIRING | AZURE DATA ENGINEER
Location: Bangalore | Hyderabad
Experience: 5–8 Years
Work Mode: Hybrid
CTC: Up to ₹23 LPA
ROLE OVERVIEWWe are looking for an experienced Azure Data Engineer with strong expertise in building scalable data pipelines and modern cloud data platforms.
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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