About The Opportunity
A dynamic leader in the cloud data engineering and enterprise analytics space, we empower organizations across India to unlock data-driven decisions through scalable, secure, and modern cloud-native architectures. Partnering with top Fortune 500 clients and fast-scaling startups, we deliver high-impact GCP-centric data solutions—from real-time ingestion to AI-ready data lakes—focused on performance, governance, and innovation.
Role & Responsibilities
- Design, build, and maintain scalable data pipelines on Google Cloud Platform using Dataflow, BigQuery, Pub/Sub, and Cloud Storage.
- Orchestrate ETL/ELT workflows using Composer (Airflow) and integrate with source systems (SAP, Salesforce, APIs, etc.) for batch and real-time streaming.
- Optimize data models and query performance in BigQuery; implement partitioning, clustering, and materialized views for cost and speed efficiency.
- Collaborate with data scientists and analysts to enable ML feature engineering, model training datasets, and monitoring through Vertex AI and BigQuery ML.
- Enforce data lineage, quality, and governance via Data Catalog, DLP, and custom validation frameworks;
- Implement Infrastructure as Code (IaC) using Terraform or Deployment Manager and establish CI/CD pipelines for data infrastructure automation.
Skills & Qualifications
- Must-Have
- Google Cloud Platform (GCP)
- BigQuery
- Dataflow
- Pub/Sub
- Cloud Composer (Airflow)
- Terraform
- Python
- SQL
- Preferred
- Vertex AI
- Data Catalog / DLP
- Looker or BI tools integration
Benefits & Culture Highlights
- Work alongside cloud experts on high-visibility, client-facing GCP data projects with global impact.
- Access to GCP certification sponsorships, hands-on sandbox environments, and innovation labs.
- On-site collaborative culture with hybrid flexibility, regular tech talks, and peer-driven learning circles.
Skills: google,airflow,data,cloud,gcp
