Job Description
The Data Engineer is responsible for designing, building, and maintaining data pipelines and systems that collect, process, and store large volumes of data. This role ensures data is reliable, accessible, and optimized for analysis, supporting business intelligence and data-driven decision-making.
Responsibilities
• Design and develop data pipelines (ETL/ELT processes)
• Collect, clean, and transform raw data from multiple sources
• Build and maintain data warehouses and databases
• Ensure data quality, integrity, and consistency
• Optimize data systems for performance and scalability
• Integrate APIs and third-party data sources
• Collect, clean, and transform raw data from multiple sources
• Build and maintain data warehouses and databases
• Ensure data quality, integrity, and consistency
• Optimize data systems for performance and scalability
• Integrate APIs and third-party data sources
Skills & Qualifications
Experience Required
1–5 years
Required Skills
Big data tools (Spark)
Cloud platforms (AWS/Azure)
ETL/data pipelines
Python programming
SQL (advanced)
Languages
English
Education
Degree (Undergraduate)
Benefits
House Rent Allowance (HRA)
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Job Overview
Job ID
#1175
Posted
Apr 29, 2026
Deadline
May 30, 2026
Job Openings
1 opening
Job Type
Full-Time | On-Site | Day Shift
Experience
1–5 years
Age Limit
23 - 35 years
Preferred Gender
Any
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