Data Engineer

Dentsu Aegis Network Ltd.; Karnataka; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Merkle in Bengaluru, India seeks a Data Engineer with 3–7 years of data engineering experience and hands-on GCP expertise to design scalable data pipelines and data workflows. You will implement modular Node.js/Python solutions, integrate external APIs, and build robust ETL/ELT processes in a fast-paced environment.

The role requires strong SQL, data modeling, and cloud security awareness, with collaboration across cross-functional teams. Permanent, full-time position based in Bengaluru.

Qualifications

• 3 to 7 years of experience in data engineering, including 1+ years on Google Cloud Platform.
• Proficient in Node.js and Python with OOP and clean coding.
• Hands-on with GCP services: BigQuery, Cloud Functions, Cloud Run, Cloud Build, Dataform, Pub/Sub, Eventarc, Cloud Storage, and Cloud Composer.
• Solid understanding of SQL, data modeling, and data warehousing concepts.
• Familiarity with CI/CD pipelines, Git-based workflows etc.
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Responsibilities

• Implement modular, object-oriented Node.js/Python applications for data ingestion and transformation.
• Build and maintain ETL/ELT pipelines using GCP services: BigQuery, Cloud Functions, Cloud Run, Cloud Composer, and Dataform.
• Integrate with external APIs to extract and load data into BigQuery.
• Develop event-driven architectures using Pub/Sub and Eventarc to trigger workflows and manage real-time data streams.
• Automate deployment and testing workflows using Cloud Build and CI/CD pipelines.
• Optimize performance and cost of data processing and storage across GCP services.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
• Ensure data security, governance, and compliance across all pipelines and storage layers.

Skills

GCP Data Engineering

Node.js

Python

Object-Oriented Programming

BigQuery

CI/CD

Education

Bachelor’s or Master Degree

GCP Professional Data Engineer Certification

Snowflake Certification

Tools

Cloud Functions

Cloud Run

Dataform

Pub/Sub

Eventarc

Cloud Composer

Cloud Build

BigQuery

Cloud Storage

Job description

Job Description

Business Title: Data Engineer

Years of Experience: Min 3 and max up to 7.

We are looking for a highly skilled GCP Data Engineer with strong programming fundamentals and cloud-native architecture experience. The candidate should have hands‑on expertise building scalable data pipelines on Google Cloud Platform, integrating external APIs, and applying software engineering principles to data workflows.

Must have skills

• 3 to 7 years of experience in data engineering, with at least 1+ years on Google Cloud Platform.
• Strong proficiency in Nodejs, Python, including OOP principles, modular design, and clean coding standards.
• Hands‑on with GCP services: BigQuery, Cloud Functions, Cloud Run, Cloud Build, Dataform, Pub/Sub, Eventarc, Cloud Storage, and Cloud Composer.
• Solid understanding of SQL, data modeling, and data warehousing concepts.
• Familiarity with CI/CD pipelines, Git-based workflows etc.
• Strong problem‑solving skills and ability to work independently in a fast‑paced environment.

Good to have skills

• Familiarity with other Cloud technologies
• Working experience on JIRA and Agile
• Stakeholder communication
• Microsoft Office
• Cross functional team work internally and with external clients
• Team Lead
• Requirement gathering

Key responsibilities

1. Implement modular, object-oriented Nodejs/Python applications for data ingestion and transformation.
2. Strong Object-Oriented Programming skills. Proficient in implementing scalable, maintainable data pipelines using core OOP principles such as encapsulation, inheritance, polymorphism, and abstraction. Experienced in building modular systems with well‑defined class hierarchies, applying SOLID principles to ensure clean architecture and separation of concerns. Skilled in leveraging design patterns to solve complex problems and enhance code readability and testability.
3. Build and maintain ETL/ELT pipelines using GCP services: BigQuery, Cloud Functions, Cloud Run, Cloud Composer, and DataForm.
4. Integrate with external APIs to extract and load data into BigQuery.
5. Develop event-driven architectures using Pub/Sub and Eventarc to trigger workflows and manage real-time data streams.
6. Automate deployment and testing workflows using Cloud Build and CI/CD pipelines.
7. Optimize performance and cost of data processing and storage across GCP services.
8. Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
9. Ensure data security, governance, and compliance across all pipelines and storage layers.

Education & Qualifications

• Bachelor’s or Master Degree or equivalent Degree Certification if any.
• GCP Professional Data Engineer Certification.
• Snowflake Associate / Core Shift timing 12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone.

Location: DGS India - Bengaluru - Manyata N1 Block

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. Find out more about us Who we are Our Social Impact Our work