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HR India Solutions
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Azure Data Engineer (Manager)

Azure Data Engineer (Manager)

HR India Solutions

7 - 12 years

5 - 15 Lacs

gurugram

Posted:11 hours ago| Platform:

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Skills Required

pyspark phython sql developer

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role:

We are looking for a skilled Azure Data Engineer with 7 yrs 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:

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 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

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HR India Solutions

Human Resources Consulting

N/A

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Azure Data Engineer (Manager)

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

About the Role:

We are looking for a skilled Azure Data Engineer with 7 yrs 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:

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 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

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