Data Engineer

Dentsu Aegis Network Ltd.; India; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Merkle in Bengaluru (DGS India) is seeking a Data Engineer to build scalable data pipelines on Google Cloud Platform. You will program in Nodejs and Python, design modular data workflows, and integrate external APIs into BigQuery-backed pipelines.

The role requires 3–7 years in data engineering with at least 1+ year on GCP, plus strong SQL, data modeling, and CI/CD experience. This is a permanent, full-time position in a fast-paced environment.

Qualifications

• 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.
• 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 Nodejs/Python applications for data ingestion and transformation.
• 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.
• 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

Nodejs

Python

BigQuery

Cloud Functions

Cloud Run

Cloud Build

Dataform

Pub/Sub

Eventarc

Cloud Storage

Cloud Composer

SQL

Data modeling

Data warehousing

CI/CD pipelines

Git-based workflows

Education

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.

Tools

BigQuery

Cloud Functions

Cloud Run

Cloud Build

Dataform

Pub/Sub

Eventarc

Cloud Storage

Cloud Composer

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

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