GCP Data Engineer - Immediate to 15 Days

Dentsu Global Services; Bengaluru; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Dentsu Global Services in Bengaluru, Karnataka, seeks a highly motivated GCP Data Engineer to develop and deliver enterprise data and AI platforms on Google Cloud. You will work with Lead Data Engineers, Enterprise Architects, analytics teams, and AI/ML teams to build scalable, reliable, AI-ready data pipelines and cloud-native solutions that support analytics and digital transformation.

The ideal candidate has strong cloud data engineering foundations, experience with GCP data services, SQL and

Qualifications

• Hands-on experience with Google Cloud data services.
• Strong SQL and Python programming skills.
• Experience building scalable ETL/ELT pipelines and distributed data processing workflows.
• Knowledge of data lakes, data warehouses, and streaming pipelines.
• Exposure to analytics/AI or GenAI-enabled data ecosystems preferred.
• Analytical, troubleshooting, and problem-solving abilities.
• Ability to collaborate in Agile and cross-functional teams.
• GCP certifications such as Associate Cloud Engineer or Professional Data Engineer are a plus.

Responsibilities

• Build scalable, reliable data pipelines and cloud-native data solutions on GCP.
• Collaborate with Lead Data Engineers, Enterprise Architects, analytics and AI/ML teams.
• Support enterprise analytics, intelligent automation, and digital transformation initiatives.
• Develop data platforms for analytics and AI readiness.
• Ensure data security, governance, and efficient data tooling usage.

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

GCP

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Storage

Airflow

Looker

Vertex AI

Job description

We are seeking a highly motivated and hands-on GCP Data Engineer to support the development and delivery of modern enterprise data and AI platforms on Google Cloud Platform (GCP).

This role will work closely with Lead Data Engineers, Enterprise Architects, analytics teams, and AI/ML teams to build scalable, reliable, and AI-ready data pipelines and cloud-native data solutions that support enterprise analytics, intelligent automation, and digital transformation initiatives.

The ideal candidate should possess strong foundations in cloud data engineering, distributed data processing, and modern data platform development, along with a passion for building high-quality, scalable, and reusable data solutions in a fast-paced enterprise environment.

This role offers an excellent opportunity to work on large-scale data modernization, semantic data enablement, and next-generation AI data ecosystems.

work Timings : 01.00 P.M. - 10.00 P.M.

Notice Period : Immediate to 15 Days (Preferred)

Technical Expertise Required

Area

Skills / Technologies

GCP, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage

Data Processing

SQL, Python, PySpark, DBT

Apache Beam, batch & real-time processing

Workflow Orchestration

Cloud Composer (Airflow), Workflows

Semantic & Analytics

Basic semantic modeling concepts, reporting datasets, Looker exposure preferred

AI/ML Enablement

Vertex AI exposure, BigQuery ML, GenAI ecosystem awareness

Metadata & Governance

DevOps & Automation

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 3–6 years of experience in data engineering and cloud-based data platform development.
• Hands‑on experience working with Google Cloud Platform (GCP) data services.
• Strong SQL and Python programming skills.
• Experience developing scalable ETL/ELT pipelines and distributed data processing workflows.
• Understanding of modern data architecture concepts including data lakes, data warehouses, and streaming pipelines.
• Exposure to analytics, AI/ML, or GenAI‑enabled data ecosystems preferred.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Ability to work collaboratively in Agile and cross‑functional delivery teams.
• GCP certifications such as Associate Cloud Engineer or Professional Data Engineer are a plus.

Preferred Experience

• Familiarity with modern data engineering and data product development practices.
• Experience working with semantic layers, reporting platforms, or BI ecosystems.
• Exposure to AI‑ready data platforms and modern analytics ecosystems.
• Experience in retail, marketing, customer analytics, or digital commerce domains is an advantage.

Builds analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics

Works with stakeholders including the Executive, Product, Data and Design teams to assist with data‑related technical issues and support their data infrastructure needs

Keeps our data separated and secure

Creates data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader

Works with data and analytics experts to strive for greater functionality in our data systems