Data Engineer

dentsu; New Delhi; On-site; INR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Permanent contract

On-site Bengaluru office

Merkle corporate benefits

Job summary

Merkle in Bengaluru seeks a Data Engineer to design and operate scalable data pipelines on Google Cloud Platform, focusing on modular, object-oriented Node.js and Python applications for data ingestion and transformation.

You will build ETL/ELT processes using BigQuery, Cloud Functions, Cloud Run, and Dataform, while implementing event-driven architectures with Pub/Sub and Eventarc, and driving CI/CD automation.

Qualifications

• 3 to 7 years of experience in data engineering, with 1+ years on Google Cloud Platform.
• Strong proficiency in Node.js and Python, including OOP and clean coding standards.
• Hands-on with GCP services such as BigQuery, Cloud Functions, Cloud Run, Cloud Build, Dataform, Pub/Sub, Eventarc, Cloud Storage, and Cloud Composer.

Responsibilities

• Implement modular, object-oriented Node.js/Python applications for data ingestion and transformation.
• Build and maintain ETL/ELT pipelines using GCP services like BigQuery and Cloud Composer.
• Develop event-driven architectures using Pub/Sub and Eventarc to trigger real-time workflows.
• Automate deployment and testing workflows using Cloud Build and CI/CD pipelines.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
• Ensure data security, governance, and compliance across pipelines and storage layers.

Skills

Node.js

Python

SQL

CI/CD

Data pipelines

GCP concepts

Education

Bachelor's or Master's degree

Tools

BigQuery

Cloud Functions

Cloud Run

Cloud Build

Dataform

Pub/Sub

Eventarc

Cloud Storage

Cloud Composer

Job description

Job Description

Details

Business Title

Data Engineer

Years of Experience

Min 3 and max upto 7.

Job Descreption

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 in building scalable data pipelines on Google Cloud Platform, integrating external APIs, and applying software engineering principles to data workflows.

Must have skills

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

Good to have skills

• 1.Familiarity with other Cloud technologies
• 2.Working experience on JIRA and Agile
• 3.Stakeholder communication
• 4. Microsoft Office
• 5. Cross functional team work internally and with external clients
• 6. Team Lead
• 7. Requirement gathering

Key responsibiltes

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 Qulification

1. Bachelor's or Master Degree or equivalent Degree

Certification If Any

1. GCP Professional Data Engineer Certification.
2. 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