About the Role

We are seeking a highly motivated and hands-on GCP Data Engineer to support the development and delivery of contemporary 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 robust foundations in cloud data engineering, distributed data processing, and contemporary data platform development, along with a passion for building high-quality, scalable, and reusable data solutions in a rapid-paced enterprise environment.

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

Job Location : Bangalore, Pune, Mumbai

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

Notice Period : Immediate to 15 Days (Preferred)

Technical Expertise Required

Area





Skills / Technologies

Cloud Data Engineering

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

Data Processing

SQL, Python, PySpark, DBT

Streaming & Pipelines

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

Data Catalog, metadata management, lineage concepts

DevOps & Automation

CI/CD concepts, Git, automation frameworks

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 s

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