Live opening · Posted 13 days ago

Data Engineer

DC Innovision · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 13 days ago
CompanyDC Innovision
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed13 days ago

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About the role

Description supplied by the original job listing.

Data Engineer
Location: Bangalore
Experience: 4–6 Years
Work Mode: Virtual Interview
Employment Type: Full-Time
Salary: Up to ₹15 LPA
Interview Date: 19 September 2026
Job Summary
We are looking for an experienced Data Engineer with strong hands-on expertise in Python, SQL, Azure Cloud, and ETL/ELT. The ideal candidate will be responsible for designing, developing, and maintaining reliable and scalable data pipelines and supporting data engineering solutions.
Key Responsibilities
Design, develop, and maintain scalable data pipelines.
Develop and optimize ETL/ELT processes.
Write efficient and complex SQL queries for data extraction and transformation.
Work with Azure Cloud services and data engineering solutions.
Perform data integration, transformation, and validation.
Monitor and troubleshoot data pipelines and resolve technical issues.
Optimize data workflows for performance, reliability, and scalability.
Collaborate with technical and business teams to understand data requirements.
Maintain data quality and follow data engineering best practices.
Required Skills
Python
SQL
Azure Cloud
ETL / ELT
Strong understanding of data pipelines and data integration.
Good analytical and problem-solving skills.
Strong communication and collaboration skills.
Candidate Profile
4–6 years of relevant experience in Data Engineering.
Strong practical experience with Python and SQL.
Hands-on experience with Azure Cloud.
Good understanding of ETL/ELT concepts and data pipeline development.
Ability to work independently as well as within a team.
Interview Details
Interview Mode: Virtual Interview
Interview Date: 19 September 2026
Location: Bangalore

Work arrangement
No

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