AWS Technical Lead – Data Engineering

dentsu; Mumbai City; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Merkle in Mumbai seeks a hands-on AWS Technical Lead – Data Engineering with 6 to 10 years of experience to design and deliver scalable, secure, high-performance data platforms on AWS. You will own end-to-end technical delivery, collaborating with global teams, architects, and clients to provide enterprise-grade data solutions.

The ideal candidate should have deep expertise in AWS data services, SQL, and Python, and be able to design, build, and optimize reliable data pipelines for analytics and

Qualifications

• Strong hands-on AWS data engineering expertise.
• Proficient in SQL and Python for data processing.
• Experience designing scalable data pipelines for analytics.

Responsibilities

• Design and implement AWS-based data engineering solutions.
• Build and optimize batch and streaming pipelines.
• Develop efficient data models for analytics use cases.
• Own data engineering deliverables from development to production support.
• Troubleshoot complex data and production issues and ensure reliability.
• Collaborate with architects, product owners, and stakeholders to translate requirements and participate in solution design.

Skills

AWS

SQL

Python

Data pipelines

Tools

Airflow

Job description

The purpose of this role is to provide technical guidance and suggest improvements in development processes. Develop required software features, achieving timely delivery in compliance with the performance and quality standards of the company.

Job Description:

Role Overview

We are looking for a hands-on AWS Technical Lead – Data Engineering with 6 to 10 years of experience to design and deliver scalable, secure, and high-performance data platforms on AWS.

This role requires strong individual contribution with end-to-end technical ownership. The candidate will collaborate closely with global teams, architects, and clients to deliver enterprise-grade data engineering solutions.

The ideal candidate should have deep expertise in AWS data services, SQL, and Python, along with the ability to design, build, and optimize reliable data pipelines for analytics and business use cases.

Key Responsibilities

Data Platform Design & Development

• Design and implement AWS-based data engineering solutions

• Build and optimize batch and streaming pipelines

• Develop:

• Design efficient data models for:

Delivery & Quality Ownership

• Own data engineering deliverables from development to production support

• Perform:

• Troubleshoot complex data and production issues

• Ensure solutions meet security, reliability, and scalability standards

Collaboration & Client Engagement

• Work with architects, product owners, and stakeholders

• Translate business requirements into technical data solutions

• Provide:

• Participate in solution design and architecture discussions

Engineering Best Practices

• Follow coding standards and data engineering best practices

• Participate in code reviews and continuous improvement initiatives

• Ensure compliance with AWS, security, and governance guideline

Location:

Mumbai

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent