GCP Data Engineer

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

Job summary

Merkle in Pune, India is seeking a data engineer to design and optimize scalable data pipelines on Google Cloud Platform using Python. You will build modular data ingestion and transformation apps, deploying solutions with BigQuery, GCS, and related services, while ensuring performance, security, and governance.

Collaborate with cross‑functional teams to translate business needs into scalable data solutions and maintain thorough technical documentation.

Qualifications

• Bachelor’s or Master’s degree or equivalent.
• GCP Professional Data Engineer Certification.
• Snowflake Associate / Core certification is preferred.

Responsibilities

• Design, build, and optimize scalable ETL/ELT data pipelines across GCP.
• Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation.
• Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm.
• Integrate with external APIs to ingest datasets into BigQuery and other storage layers.
• Implement event‑driven and real‑time data processing architectures.
• Build and automate CI/CD workflows for deploying pipelines and services using Cloud Build.
• Ensure optimal performance, scalability, and cost efficiency of pipelines and data infrastructure.
• Establish and enforce data quality, governance, lineage, and security standards.
• Work closely with cross‑functional teams to convert business needs into scalable data solutions.
• Maintain detailed technical documentation and contribute to engineering best practices.

Skills

ETL/ELT pipelines

Python

GCP

BigQuery

Cloud Functions

Cloud Run

Cloud Composer

Pub/Sub

Eventarc

DataForm

CI/CD

Cost optimization

Education

Bachelor's or Master's degree or equivalent

GCP Professional Data Engineer Certification

Snowflake Associate / Core

Job description

Job Description:

• Design, build, and optimize scalable ETL/ELT data pipelines across GCP.
• Develop modular, object‑oriented Python applications for data ingestion, orchestration, and transformation.
• Architect, deploy, and maintain data solutions leveraging GCP services: BigQuery, GCS, Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub, Eventarc, and DataForm.
• Integrate with external APIs to ingest datasets into BigQuery and other storage layers.
• Implement event‑driven and real‑time data processing architectures.
• Build and automate CI/CD workflows for deploying pipelines and services using Cloud Build.
• Ensure optimal performance, scalability, and cost efficiency of pipelines and data infrastructure.
• Establish and enforce data quality, governance, lineage, and security standards.
• Work closely with cross‑functional teams to convert business needs into scalable data solutions.
• Maintain detailed technical documentation and contribute to engineering best practices.

Education Qualification:

• 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 - Pune - Indiqube Orchid

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 our 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.

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