AWS Data Engineer

VRINDA INTERNATIONAL; Dadri; On-site; INR 1,360,000 - 1,600,000; Full time

Job summary

VRINDA INTERNATIONAL is hiring an AWS Data Engineer to design, build and optimize scalable data pipelines on AWS. The role requires 6–10 years of data engineering experience and strong Python/SQL skills.

You will work across ETL/ELT processes, data integration and quality checks, collaborating with data science and analytics teams. Location options include Greater Noida or Pune with a contract duration of 6 months.

Qualifications

• 6–10 years of data engineering experience.
• Strong hands-on experience with AWS data engineering.
• Expertise in Python and SQL.
• Experience with ETL/ELT and data pipelines.
• Strong understanding of cloud data architecture.

Responsibilities

• Design, develop and maintain scalable data pipelines on AWS.
• Develop and optimize ETL/ELT workflows for large datasets.
• Work with AWS data services and cloud-based data platforms.
• Perform data integration, transformation and quality checks.
• Optimize data pipelines for performance, reliability and scalability.
• Collaborate with data scientists, analysts and application teams.
• Troubleshoot data pipeline and production issues.

Skills

AWS Data Engineering

Python

SQL

ETL/ELT

Data pipelines

Cloud data architecture

Job description

Job Description: HIRING: AWS Data Engineer

Locations: Greater Noida | Pune

Experience: 6–10 Years

Budget: Up to ₹16 LPA

Contract Duration: 6 Months

Notice Period: Immediate – 15 Days

? Role Overview

We are looking for an experienced AWS Data Engineer with strong expertise in cloud-based data engineering, ETL pipelines, data processing, and AWS data services.

? Key Responsibilities

• Design, develop and maintain scalable data pipelines on AWS.
• Develop and optimize ETL/ELT workflows for large datasets.
• Work with AWS data services and cloud-based data platforms.
• Perform data integration, transformation and quality checks.
• Optimize data pipelines for performance, reliability and scalability.
• Collaborate with data scientists, analysts and application teams.
• Troubleshoot data pipeline and production issues.

Required Skills

• 6–10 years of Data Engineering experience
• Strong hands-on experience with AWS Data Engineering
• Expertise in Python & SQL
• Experience with ETL/ELT and data pipelines
• Strong understanding of cloud data architecture
• Good communication and problem-solving skills

Requirements: