HR India Solutions
Azure Data Engineer/ Data Factory Immediate Joiner
Skills
24 days ago
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Important information
Contract type:
Permanent
Salary:
₹1,000,000 – ₹2,000,000 / year
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
30 September 2026
What they need
Role & responsibilities
Position: Senior Developer (Azure Data Engineer)
Experience: 6-8 Years
No. Of Position: 2
were always looking to strengthen our business by adding the
best available people to our team. Were currently seeking a Senior Azure Data
Engineer to work closely with our Data Analytics team in driving the adoption,
optimization, and iteration, leveraging multiple integrations and technologies. The ideal
candidate will have at least 3-10 years of experience with technical implementation of
customer projects. Using their expertise, problem-solving ability, and creative flair, the
consultant will design, build, deliver, and maintain. The consultant will also help develop
business requirements, specifications, process flows, application design, and
configuration, along with testing and deployment.
Locations- Mumbai, Bangalore
Required Qualifications & Experience-
Minimum experience of working in projects as a Senior Azure Data Engineer.
B.Tech/B.E degree in Computer Science or Information Technology.
Experience with enterprise integration tools and ETL (extract, transform, load)
tools like Azure Data Bricks, Azure Data factory, and Talend/Informatica, etc.
- Analyzing Data using python, Spark streaming, SSIS/Informatica Batch ETL and
data base tools like SQL, Mongo DB for processing data from different sources.
- Experience with Platform Automation tools (DB management, Azure, Jenkins,
GitHub) will be an added advantage.
- Design, operate, and integrate Different systems to enable efficiencies in key
areas of the business
- Understand Business Requirements, Interacting with business users and or
reverse engineering existing data products
- Good Understanding and working knowledge of distributed databases and
Pipelines
Ability to analyze and identify the root cause for technical issues.
Proven ability to use relevant data analytics approaches and tools to problem
solve and trouble shoot.
- Excellent documentation and communication skills.
Preferred candidate profile
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