Azure Data Engineer
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Key skills for this role
Role Overview
The role is an Azure Data Engineer position.
The stated experience range is 5–8 years.
The payroll arrangement is listed as FTE through Unionsys Payroll.
The client is KPMG Assurance and Consulting Services LLP.
Key Skills for This Role
Full Job Posting
Job Details
The role is an Azure Data Engineer position.
The stated experience range is 5–8 years.
The payroll arrangement is listed as FTE through Unionsys Payroll.
The client is KPMG Assurance and Consulting Services LLP.
Location and Work Mode
- The listed locations are Bangalore and Hyderabad.
- The work mode is hybrid.
- The work location is stated as hybrid remote in Bengaluru, Karnataka 560000.
Required Skills
- 5–8 years of experience in Azure Data Engineering.
- Strong expertise in Azure Databricks, PySpark, SQL, dbt, and Airflow.
- Experience building scalable ETL/ELT pipelines on Azure Data Lake.
- Hands-on experience with Medallion Architecture using Bronze, Silver, and Gold layers.
- Strong data modeling skills using Star and Snowflake schemas.
- Knowledge of CI/CD, GitHub or Azure DevOps, and data quality and governance practices.
- Good understanding of analytics, reporting, and AI/ML data platforms.
- Databricks certification and dbt experience are required.
Pay
- Pay is up to ₹2,000,000 per year.
Responsibilities
- Build scalable ETL and ELT pipelines on Azure Data Lake.
- Develop and maintain Azure data engineering solutions using Azure Databricks, PySpark, SQL, dbt, and Airflow.
- Implement and work with Medallion Architecture across Bronze, Silver, and Gold layers.
- Design and maintain data models using Star and Snowflake schemas.
- Support data quality, governance, CI/CD, GitHub, and Azure DevOps practices.
- Enable analytics, reporting, and AI/ML data platforms.
Requirements
- 5–8 years of experience in Azure Data Engineering.
- Strong expertise in Azure Databricks, PySpark, SQL, dbt, and Airflow.
- Experience building scalable ETL/ELT pipelines on Azure Data Lake.
- Hands-on experience with Medallion Architecture using Bronze, Silver, and Gold layers.
- Strong data modeling skills, including Star and Snowflake schemas.
- Knowledge of CI/CD, GitHub or Azure DevOps, and data quality and governance practices.
- Good understanding of analytics, reporting, and AI/ML data platforms.
- Databricks certification is required.
- dbt experience is required.
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