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dentsu

AWS Technical Lead – Data Engineering

Posted 6 Days Ago
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In-Office
Mumbai, Maharashtra, IND
Senior level
In-Office
Mumbai, Maharashtra, IND
Senior level
Designs and delivers scalable AWS data platforms, including batch and streaming pipelines, SQL transformations, Python-based solutions, and efficient data models. Owns delivery through production support, performance tuning, cost optimization, capacity planning, troubleshooting, and security compliance. Collaborates with architects, product owners, clients, and global stakeholders to translate business needs into technical solutions, provide estimates, evaluate trade-offs, and promote engineering best practices.
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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:

    • 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

Collaboration & 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

dentsu Mumbai, Maharashtra, IND Office

Mumbai, India

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