Job highlights

- 4-7 years experience with Azure Data Factory, Synapse Analytics, Databricks, Python/Pyspark, and Azure Data Lake migrations
- Develop and implement data pipelines, migrate data to Azure Data Lake, optimize workflows, ensure data quality, collaborate on data solutions

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 Engineer with 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 Factory and 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:

- Robust 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 Lake migrations 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

📌 Azure Data Engineer (New Delhi)
🏢 hrindiasolutions.co.in
📍 New Delhi