Azure Data Engineer - H

Advance Career Solutions; Chennai, Delhi, Mumbai; Remote; INR 1,400,000 - 2,400,000; Full time

Job summary

Advance Career Solutions is seeking an experienced Azure Data Engineer to design and run scalable data pipelines in the Azure ecosystem. The role emphasizes hands-on work with Databricks, Data Factory, Data Lake, and SQL, along with DBT, PySpark, and complex JSON/XML ingestion.

The ideal candidate will craft robust data pipelines, transform ingested data, and ensure performance and reliability across big data processes.

Qualifications

• 5–12 years of experience in data engineering with Azure stack.
• Hands-on with Azure data services, DBT, PySpark, and SQL.
• Experience building data pipelines and ingesting complex JSON/XML data.

Responsibilities

• Develop and maintain data pipelines using Azure Data Factory and Databricks.
• Process and transform data with PySpark and SQL.
• Leverage Azure Data Lake and Azure SQL for storage and processing.
• Build and maintain data transformation models using DBT.
• Ingest, parse, and transform complex JSON and XML data.
• Ensure data quality, performance, reliability and scalability.

Skills

Azure Databricks

Azure Data Factory

Azure Data Lake

Azure SQL

DBT

PySpark

SQL

JSON/XML ingestion

Education

B.tech/B.E or B.C.A +M.C.A

Azure Data Engineering qualification

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake

Azure SQL

DBT

PySpark

Job description

Job Description: Azure Data Engineer

Experience: 5 to 12 Years Location: Pan India Notice Period: Immediate to 30 Days

Job Summary

We are looking for an experienced Azure Data Engineer with strong hands-on expertise in Azure data services, DBT, PySpark, and SQL. The candidate should have experience building data pipelines and ingesting complex JSON and XML data.

Mandatory Skills

• Azure Databricks (ADB)
• Azure Data Factory (ADF)
• Azure Data Lake (ADL)
• Azure SQL (ASQL)
• DBT
• PySpark and SQL
• Strong knowledge of complex JSON and XML data ingestion and processing

Education Criteria

• B.tech/B.E or B.C.A +M.C.A
• Candidates with relevant technical qualifications and experience in Azure Data Engineering are preferred.

Key Responsibilities

• Develop and maintain data pipelines using Azure Data Factory and Databricks.
• Process and transform data using PySpark and SQL.
• Work with Azure Data Lake and Azure SQL for data storage and processing.
• Build and maintain data transformation models using DBT.
• Ingest, parse, and transform complex JSON and XML data.
• Ensure data quality, performance, reliability, and scalability.

Note: All the listed mandatory skills are required. Candidates must have hands-on experience with the specified Azure data services, DBT, PySpark, SQL, and complex JSON/XML ingestion.