:

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

- 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.

Positive to have skills

1.Familiarity with other Cloud technologies

2.Working experience on JIRA and Agile

3.Stakeholder communication

- Microsoft Office
- Cross functional team work internally and with external clients
- Team Lead
- Requirement gathering

Key responsibiltes

- 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.

Education Qulification

- 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 BlockBrand:

MerkleTime Type:

Full timeContract Type:

Permanent

📌 Data Engineer (Bengaluru)
🏢 dentsu
📍 Bengaluru