Gurgaon Portal
Job Title:
Azure Data Engineer
Grade:
C1 Location:
Pan India (Capgemini Office Locations) Experience:
7+ Years Notice Period:
Immediate to 30 Days Preferred Compensation:
As per company standards Role Overview:
We are looking for a skilled and experienced
Azure Data Engineer
to join our data team. The ideal candidate will have strong expertise in building scalable data pipelines, working with Azure cloud services, and collaborating closely with Data Architects and stakeholders to transform complex business needs into technical solutions. Key Responsibilities:
Design and build
data pipelines
and
data source integrations
on Azure
Translate business and data requirements into efficient
ETL/ELT processes
Work closely with
Data Architects
to implement optimized solutions
Conduct
performance tuning
and
error correction
across pipelines
Ensure high quality, scalable, and secure data architecture solutions
Collaborate with cross-functional teams to meet project deadlines and data goals
Technical Skills & Experience:
7+ years
of experience as a Data Engineer with a focus on
Azure data platforms
Strong working knowledge of: Azure Data Factory (ADF)
Azure Databricks
Azure Synapse / Data Lake / Blob Storage
Expertise in at least one of the following programming languages:
Python
or
Scala
Solid understanding of
ETL concepts , data transformation, and data governance
Experience in
error handling ,
pipeline optimization , and
logging mechanisms
Qualifications:
Bachelors or Masters degree in
Computer Science ,
Information Technology , or a related field
Strong
analytical ,
problem-solving , and
communication skills
Proven ability to work independently and collaboratively in agile environments
#J-18808-Ljbffr
Azure Data Engineer
Grade:
C1 Location:
Pan India (Capgemini Office Locations) Experience:
7+ Years Notice Period:
Immediate to 30 Days Preferred Compensation:
As per company standards Role Overview:
We are looking for a skilled and experienced
Azure Data Engineer
to join our data team. The ideal candidate will have strong expertise in building scalable data pipelines, working with Azure cloud services, and collaborating closely with Data Architects and stakeholders to transform complex business needs into technical solutions. Key Responsibilities:
Design and build
data pipelines
and
data source integrations
on Azure
Translate business and data requirements into efficient
ETL/ELT processes
Work closely with
Data Architects
to implement optimized solutions
Conduct
performance tuning
and
error correction
across pipelines
Ensure high quality, scalable, and secure data architecture solutions
Collaborate with cross-functional teams to meet project deadlines and data goals
Technical Skills & Experience:
7+ years
of experience as a Data Engineer with a focus on
Azure data platforms
Strong working knowledge of: Azure Data Factory (ADF)
Azure Databricks
Azure Synapse / Data Lake / Blob Storage
Expertise in at least one of the following programming languages:
Python
or
Scala
Solid understanding of
ETL concepts , data transformation, and data governance
Experience in
error handling ,
pipeline optimization , and
logging mechanisms
Qualifications:
Bachelors or Masters degree in
Computer Science ,
Information Technology , or a related field
Strong
analytical ,
problem-solving , and
communication skills
Proven ability to work independently and collaboratively in agile environments
#J-18808-Ljbffr