Note
Immediate Joiner/Serving Notice Candidate only
4 days office/1 day
Must 7+ years of exp in Data Engineering

Position Description
GCP Data Engineer to build cloud analytics platforms using lean Agile practices. You will design, modernize, and land data on the Google Cloud Platform (GCP) to support Enabling Platforms and Analytics. Experience with large-scale data warehouses, data lakes, and decentralized data architectures (like Data Mesh) on GCP is required. You will also design foundational data infrastructure to power enterprise AI, Machine Learning (ML), and Generative AI initiatives. We need candidates with a broad set of technology skills who can design optimal solutions using GCP and third-party technologies. You will: Implement Data Mesh principles (data as a product, data contracts, self-serve platforms). Design, build, and maintain high-performance dimensional data models (Star/Snowflake Schema) supporting BI, analytics, and AI/ML. Develop analytics data products using streaming and batch ingestion in GCP.



Collaborate with Data Science/AI teams to architect MLOps pipelines and integrate Gen AI (LLMs, Vector Search). Act as SME in Data Engineering, AI integrations, and GCP services, advocating for technical excellence. Work in cooperative, agile environments (including pairing/mobbing) with cross-functional engineers, product owners, and data stewards. Primary Skills Required: Experience building domain-specific, secure "data products" within a Data Mesh framework. Expertise in dimensional modeling (Star/Snowflake Schema) and optimizing schemas for Big Query. Experience deploying automated, end-to-end data pipelines (concept to operations) with automated data lineage, quality frameworks, and observability. Ability to evaluate, prototype (Po C), and productionalize GCP tools for ingestion, integration, and reporting. Skill in translating business problems into technical data requirements alongside product management and architects. Experience with dat

📌 Gcp data engineer (Chennai)
🏢 Teamware Solutions
📍 Chennai