Job Description
we are seeking The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and systems. The role focuses on collecting, processing, and transforming large datasets to support data analytics, machine learning, and business intelligence teams.
Responsibilities
• Design and develop data pipelines and ETL processes
• Collect, clean, and transform large datasets from multiple sources
• Build and maintain data warehouses and data lakes
• Ensure data quality, accuracy, and consistency
• Optimize data systems for performance and scalability
• Work with data scientists and analysts to support reporting needs
• Collect, clean, and transform large datasets from multiple sources
• Build and maintain data warehouses and data lakes
• Ensure data quality, accuracy, and consistency
• Optimize data systems for performance and scalability
• Work with data scientists and analysts to support reporting needs
Skills & Qualifications
Experience Required
1–6 years
Required Skills
Big data tools (Spark/Hadoop)
Cloud platforms (AWS/GCP/Azure)
Communication Skills
ETL pipelines
Python
SQL
Languages
English
Education
Diploma
Degree (Undergraduate)
Benefits
House Rent Allowance (HRA)
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Job Overview
Job ID
#1228
Posted
Apr 29, 2026
Deadline
May 30, 2026
Job Openings
1 opening
Job Type
Full-Time | On-Site | Day Shift
Experience
1–6 years
Age Limit
23 - 35 years
Preferred Gender
Any
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