AWS Technical Lead – Data Engineering

dentsu; Mumbai; On-site; INR 2,400,000 - 4,800,000; Full time

Job summary

Merkle in Mumbai is seeking a hands-on AWS Technical Lead – Data Engineering with 6 to 10 years of experience to design and deliver scalable, secure data platforms on AWS. You will own data engineering deliverables end-to-end and work with global teams.

The role focuses on building batch and streaming pipelines, SQL-driven transformations, Python pipelines, and ensuring performance, security, and governance.

Qualifications

• 6–10 years of experience in data engineering on AWS.
• Hands-on experience designing scalable data platforms.
• Strong SQL and Python expertise.
• Experience building batch and streaming data pipelines.

Responsibilities

• Data Platform Design & Development on AWS.
• Design and implement AWS-based data engineering solutions.
• Build and optimize batch and streaming pipelines.
• Develop SQL-driven data transformations and Python-based pipelines.
• Design efficient data models for scalability, performance, and cost.

Skills

AWS data services

SQL

Python

Data pipelines

Data modeling

Security & governance

Tools

S3

Glue

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.

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: SQL-driven data transformations Python-based pipelines
• Design efficient data models for: Scalability Performance Cost optimization Delivery & Quality Ownership
• Own data engineering deliverables from development to production support
• Perform: Performance tuning Cost optimization Capacity planning Troubleshoot complex data and production issues
• Ensure solutions meet security, reliability, and scalability standards

Collaborate & Client Engagement

• Work with architects, product owners, and stakeholders
• Translate business requirements into technical data solutions
• Provide: Technical estimates Implementation trade-offs
• 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

About dentsu

For over 120 years, innovation has been a core tenet of our offering - exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way - helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way.

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