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Job Description:
Job Description
We're seeking a talented Data Engineer with hands-on experience in the Google Cloud data ecosystem and a proven track record. You'll be instrumental in designing, building, and maintaining our data infrastructure and pipelines, enabling critical insights and supporting data-driven initiatives across the organization.
Responsibilities
Data Pipeline Development: Design, build, and optimize robust and scalable data pipelines to ingest, transform,



and load data from various sources into our data warehouse and knowledge graphs.
Cloud Data Stack Expertise: Implement and manage data solutions using Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, Spanner and Dataproc and Azure Cloud Services
Knowledge Graph Engineering: Develop and maintain data models, ingest data, and create efficient queries within Neo4j and/or Stardog. Leverage your expertise to build and expand our enterprise knowledge graph.
Data Quality & Governance: Implement best practices for data quality, data validation, and data governance, ensuring data accuracy, consistency, and reliability.
Performance Optimization: Continuously monitor and optimize the performance of data pipelines and database queries, identifying and resolving bottlenecks.
Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver effective

📌 Data Engineer (India)
🏢 UPS
📍 India