Lead Data Engineer (AWS)

Actively Reviewing the Applications

Softview Infotech

India, Tamil Nadu, Chennai Full-Time INR 21–30 LPA

Posted 1 day ago • Apply by July 3, 2026

Job Description

Position: Lead Data Engineer (AWS)

Experience: 7-10 Years

Location: Chennai, Bangalore

Key Skills: AWS Data Engineer, AWS Glue, Lambda, Amazon Redshift, EMR, Amazon Kinesis

Job Summary

As a Lead Data Engineer, you will be playing a crucial role in leading a dynamic team of data engineers and being responsible for technical architecture, design, implementation, optimizing and maintenance of data engineering solution components for our customers. Your will be required to have strong hands-on experience in implementing and leading technical architecture, design and delivery of data engineering solutions on AWS, with a good understanding of data warehouse and data lake architecture patterns.

Key Responsibilities

Technical Architecture & Design

Lead technical architecture and design efforts for data engineering solution components for delivering business solutions
Design and implement scalable, secure and resilient data engineering solutions on AWS, with a good understanding of data architecture patterns
Evaluate and select appropriate technology stack for data engineering solution components – cloud native services, open-source tools, data storage, data processing frameworks etc.

Data Engineering Development

Lead, mentor and manage a team of dynamic data engineers for development, testing and implementation of data pipelines ensuing quality, performance and on-time delivery
Responsible for detailed technical design and data mapping specification
Ensure adherence to industry best practices, coding standards and guidelines driving continuous improvement in code quality and delivery excellence
Optimize data solutions for performance, cost-efficiency and scalability
Ensure data quality and integrity for downstream systems and applications

Technical Project Management

Plan, prioritize and manage data engineering projects, ensuring timely delivery with quality
Identify and mitigate risks, troubleshoot issues, handle customer escalations
Ensure alignment with business requirements and priorities, working closely with stakeholders – both internal and customer

Collaboration and Documentation

Maintain comprehensive technical documentation, including architecture diagrams, high level / low level data integration design, data mapping specifications, database design etc.
Working closely with peers, BI engineers and data scientists to enable advanced analytics, machine learning models and reporting solutions

Profile Requirements

7+ years of hands-on experience in delivering data engineering solutions
Experience leading a team of 5+ team members, responsible for technical project management including stakeholder management, design review, code reviews and mentoring
Strong hands-on experience in AWS, with experience in data engineering related services and technologies including AWS Glue, Lambda, Amazon Redshift, EMR, Amazon Kinesis etc.
Expertise in database concepts, SQL and relational modelling
Good understanding and experience working with NoSQL databases
Strong hands-on experience in implementing data pipelines using Python and PySpark
Good understanding of data lake and data warehouse concepts, modern data architecture patterns and industry trends in data engineering space
Hands-on experience in data modelling, with a good understanding of both ER modelling and dimensional modelling
Good understanding and experience implementing data quality management solutions
Good understanding of metadata management for data engineering solutions and data platforms
Good understanding of data governance concepts – including data stewardship, data security and data privacy management
Experience with version control tools like Git for managing version control for source code
Experience with DevOps processes, including experience implementing CI/CD pipelines for data engineering solution components
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills