AWS Data Engineer

Vrinda International; Greater Noida, Pune District; On-site; INR 1,440,000 - 1,760,000; Full time

Job summary

Vrinda International is seeking an experienced AWS Data Engineer to join our team in Greater Noida or Pune. The role requires 6–10 years of data engineering experience and strong expertise in Python and SQL, ETL/ELT pipelines, and AWS data services.

The position involves designing and maintaining scalable data pipelines on AWS, optimizing ETL workflows, and collaborating with data scientists and analysts. Immediate joiners preferred; 6-month contract with notice period of 15 days.

Qualifications

• 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.

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 Eng

Python & SQL

ETL/ELT

Data pipelines

Cloud data arch

Job description

Greater Noida | Pune, India

Job Description

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