Senior Data Engineer

Eastvantage; Bengaluru; Remote; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading data solutions company is seeking an experienced Senior Data Engineer to design and scale their cloud-based data platform on AWS. This hands-on role requires building robust data pipelines and scalable models while leveraging Python, DBT, and SQL. Applicants should have a minimum of 5 years of experience in data engineering, extensive AWS RDS MySQL experience, and the ability to integrate multiple data sources. Join an innovative team and work from anywhere!

Qualifications

• Minimum of 5 years of experience in data engineering or related field.
• Strong Python development experience in data engineering environments.
• Extensive experience with AWS RDS MySQL.
• Experience using DBT for data transformation and modelling.
• Deep understanding of relational database design.
• AWS services including RDS MySQL, S3, DMS, Lambda, and CloudWatch.
• Experience working with Git-based development workflows.

Responsibilities

• Design and build scalable data pipelines and services on AWS.
• Develop Python-based data processing frameworks and transformation workflows using DBT.
• Build ingestion pipelines integrating multiple data sources including APIs.
• Design relational data models for analytics and operational workloads.
• Optimize SQL queries and ETL workloads, ensuring data validation.

Skills

Python development

Data engineering

AWS RDS MySQL

DBT

Relational database design

ETL workflows

Job description

We are seeking an experienced Senior Data Engineer to help design, build, and scale our cloud-based data platform on AWS. This role focuses on building robust data pipelines, scalable data models, and processing frameworks supporting analytics, reporting, and machine learning.

You will work on complex data engineering challenges including large-scale ingestion, data standardization, deduplication, and high-performance pipelines integrating multiple operational systems.

This is a hands‑on engineering role focused on building reliable, scalable data infrastructure using Python, DBT, SQL, and AWS.

⏰ Work Mode: Work from anywhere
💼 Role: Senior Data Engineer

What You’ll Do:

• Design and build scalable data pipelines and services on AWS.
• Develop and maintain Python-based data processing frameworks and transformation workflows using DBT.
• Build ingestion pipelines integrating multiple data sources including APIs and customer data feeds.
• Design and implement relational data models supporting analytics and operational workloads and build performant schemas within AWS RDS MySQL.
• Implement scalable transformation pipelines including data standardization and deduplication.
• Optimize SQL queries and ETL workloads, implement data validation and quality assurance processes, and build observable pipelines with logging and monitoring to ensure pipelines are resilient, maintainable, and scalable.

What We’re Looking For:

• Minimum of 5 years of experience in data engineering or related field.
• Strong Python development experience in data engineering environments.
• Extensive experience with AWS RDS MySQL.
• Experience using DBT for data transformation and modelling.
• Deep understanding of relational database design.
• AWS services including AWS RDS MySQL, S3, DMS, Lambda, and CloudWatch.
• Experience working with Git-based development workflows.
• Ability to design maintainable and scalable engineering solutions.