Senior Data Engineer

JOB DESCRIPTION – DATA ENGINEER (AWS/AZURE)

Job Title: Data Engineer – AWS/Azure
Experience: 8–10 Years
Employment Type: Full-Time
Location: Remote
Salary Budget: Up to ₹80000 per month
Working Hours: 11:00 AM – 9:00 PM

Job Overview

We are looking for an experienced Data Engineer with 8–10 years of hands-on experience in data engineering, data warehousing, ETL/ELT, cloud technologies, and data integration.

The ideal candidate should have strong expertise in AWS and Azure, SQL/MySQL, data migration, data modeling, and performance optimization. The candidate will be responsible for developing and maintaining scalable data solutions, supporting cloud modernization initiatives, and ensuring data quality, reliability, and performance across enterprise data platforms.

Key Responsibilities

• Design, develop, and maintain data integration, ETL, and ELT pipelines.
• Develop and support enterprise data warehouse solutions.
• Work with AWS and Microsoft Azure cloud platforms for data engineering and modernization initiatives.
• Perform data migration, platform upgrades, and data integration activities.
• Design and implement efficient data models and data processing solutions.
• Write, analyze, and optimize complex SQL/MySQL queries for improved performance and scalability.
• Monitor data pipelines and troubleshoot production issues.
• Ensure data quality, consistency, accuracy, and reliability across data platforms.
• Collaborate with business stakeholders, data architects, developers, and technical teams.
• Participate in Agile development and delivery processes.
• Continuously improve data engineering practices, processes, and solutions.

Required Skills & Qualifications

• 8–10 years of experience in Data Engineering and Data Warehousing.
• Strong hands-on experience with AWS cloud technologies.
• Experience with Microsoft Azure data and cloud technologies.
• Proficiency in SQL/MySQL and query optimization.
• Hands-on experience in ETL/ELT development.
• Strong understanding of data integration and data migration.
• Experience in data modeling and performance optimization.
• Experience supporting production data environments and troubleshooting technical issues.
• Good understanding of data warehousing concepts and best practices.
• Experience working in an Agile environment.
• Strong problem-solving, communication, and collaboration skills.

Good to Have

• Experience with cloud modernization and platform migration projects.
• Experience working across both AWS and Azure environments.
• Exposure to enterprise-scale data platforms and distributed data processing.
• Knowledge of data quality, governance, and monitoring frameworks.

Candidate Profile

The ideal candidate should be a highly skilled, hands-on Data Engineer capable of independently managing ETL/ELT pipelines, cloud data platforms, SQL optimization, data migration, data warehousing, and production support.

The candidate should be comfortable working with cross-functional teams to deliver reliable, scalable, and high-performance data solutions.

Pay: ₹80,000.00 - ₹90,000.00 per month

Work Location: In person