Azure Data Engineer

HR India Solutions; New Delhi, Gurugram District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

HR India Solutions in Gurugram is seeking an Azure Data Engineer with 4-7 years of experience in Azure data services to develop and maintain data solutions.

You will build data pipelines using Azure Data Factory, Synapse Analytics and Databricks, migrate data to Azure Data Lake and optimize workflows for performance and scalability. Proficiency in SQL, Python/PySpark and ETL is required; Azure Data Engineer Associate and Databricks certs are preferred but not mandatory.

Qualifications

• 4–7 years of experience in Azure data services.
• Hands-on with ADF, Synapse Analytics and Databricks.
• Strong SQL and ETL capabilities.
• Experience in Python/PySpark and data lake migrations.

Responsibilities

• Develop and implement data pipelines using Azure Data Factory and Databricks.
• Translate stakeholder requirements into technical solutions.
• Migrate data from diverse sources to Azure Data Lake.
• Optimize data processing workflows for performance and scale.
• Ensure data quality and integrity throughout the lifecycle.

Skills

SQL

ETL processes

Python/PySpark

Tools

Azure Data Factory

Azure Synapse Analytics

Databricks

Azure Data Lake

Job description

Position: Azure Data Engineer
Experience: 4-7 Years
Location: Gurugram
Type: Full Time
Preferred Certifications: Azure Data Engineer Associate, Databricks (Not Mandatory)

About the Role:
We are looking for a skilled Azure Data Engineerwith 4-7 years of experience in Azure Data Services, including Azure Data Factory (ADF), Synapse Analytics, and Databricks. The candidate will play a key role in developing and maintaining data solutions on Azure.

Key Responsibilities:

• Develop and implement data pipelines using Azure Data Factoryand Databricks.
• Work with stakeholders to gather requirements and translate them into technical solutions.
• Migrate data from various data sources to Azure Data Lake.
• Optimize data processing workflows for performance and scalability.
• Ensure data quality and integrity throughout the data lifecycle.
• Collaborate with data architects and other team members to design and implement data solutions.

Required Skills:

• Strong experience with Azure Data Services, including Azure Data Factory (ADF), Synapse Analytics, and Databricks.
• Proficiency in SQL, data transformation and ETL processes.
• Hands-on experience with Azure Data Lakemigrations and Python/Pyspark
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Azure Data Engineer Associate certification.
• Databricks Certification.

Mandatory skill set:

Pyspark- Databricks -
Python and SqlRole & responsibilities

Preferred candidate profile

Perks and benefits