The purpose of this role is to maintain, improve, clean and manipulate data in the business s operational and analytics databases

The Data Engineer works with the business s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues

Business Title

Data Engineer-Technical Lead

Years of Experience

Min 6 and max upto 10

Technical Lead with strong hands on experience in cloud-based data platforms (AWS, Azure, GCP) to design, develop, and optimize scalable data solutions

This role focuses on building robust data pipelines, implementing modern data platforms, contributing to solution designs, and supporting pre sales and client discussions

The ideal candidate is a seasoned developer who can work independently on complex data engineering problems while collaborating closely with architects, stakeholders, and junior engineers

Must have skills:

Core Technical Skills 7 10 years of hands on experience in data engineering and development roles

Strong hands-on experience with AWS and/or Azure and/or GCP data services such as BigQuery, Synapse, Redshift, Databricks, etc Any 2 cloud experience is mandatory

Solid expertise in data modeling, ETL/ELT pipeline development, data warehousing, and lakehouse architectures

Strong Python development skills for data engineering, automation, orchestration, and solution prototyping

Extensive experience working with SaaS-based data platforms (eg, Databricks, Snowflake, managed analytics services)





Experience implementing and integrating Master Data Management (MDM) solutions such as Informatica, Reltio, Profisee, or equivalent tools

Practical knowledge of data governance, security, access control, and compliance requirements in cloud environments

Basic exposure to Agentic AI concepts, such as AI-driven automation, data orchestration, or intelligent workflow augmentation

Ability to design, build, and optimize scalable and high-performance data pipelines

Experience in query optimization, performance tuning, and cost optimization across cloud data platforms

Hands-on experience supporting analytics, BI, and downstream consumption layers

Strong verbal and written communication skills to effectively collaborate with architects, QA, DevOps, and business stakeholders

Ability to explain complex technical concepts clearly to non-technical audiences

Good to have skills:

Familiarity with AI/ML integration into data platforms and analytics workflows

Prior experience working in a consulting or skilled services environment

Key responsibilities:

Design, develop, and maintain robust, scalable, and secure data pipelines and platforms across AWS, Azure, and GCP

Write high-quality,



maintainable code in Python and SQL; implement ETL/ELT processes and data transformations

Collaborate with solution architects to implement approved data architectures and provide development-level design inputs

Support pre-sales efforts by contributing to technical inputs, building PoCs, demos, and solution prototypes when required

Implement data quality checks, governance standards, security controls, and compliance requirements in developed solutions

Work closely with cross-functional teams to understand requirements and translate them into effective technical implementations

Guide and mentor junior developers, conduct code reviews, and promote best practices within the team

Stay current with emerging cloud, data engineering, and AI technologies and recommend improvements to existing platforms

Education Qualification:

1

Bachelor s or Master s degree in Computer Science, Information Systems, Data Engineering, or a related field

Certification If Any -AWS Data Analytics / Solutions Architect
Azure Data Engineer Associate
GCP Professional Data Engineer
Any two of the above
Databricks, Snowflake, or other cloud data platform certifications are a plus

Shift timing 12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone

Location:

DGS India - Pune - Kharadi EON Free Zone

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Technical Lead (Mumbai)
🏢 Dentsu Webchutney
📍 Mumbai