We are currently seeking a seasoned GCP Cloud Data Engineer with 3 to 5 years of experience in leading/implementing GCP data projects, preferrable implementing complete data centric model. This position is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications contemporary & Legacy in Product Development, Manufacturing, Finance, Purchasing, N-Tier supply Chain, Supplier collaboration Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Storage Transfer Service, Cloud Data Fusion, Pub/Sub, Data flow, Cloud compression, Cloud scheduler, Gutil, FTP/SFTP, Dataproc, BigTable etc.

• Build ETL pipelines to ingest the data from heterogeneous sources into our system • Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data • Create and maintain data models, ensuring productive storage, retrieval, and analysis of large datasets • Deploy and manage databases, both SQL and NoSQL,



such as Bigtable, Firestore, or Cloud SQL, based on project requirements infrastructure.

Skill Required:
GCP Data Engineer, Hadoop, Spark/Pyspark, Google Cloud Platform (Google Cloud Platform) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Compose, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
4+ years of skilled experience in: o Data engineering, data product development and software product launches.
3+ years of cloud data/software engineering experience building scalable, reliable, and cost- effective production batch and streaming data pipelines using:
Data warehouses like Google BigQuery.
Workflow orchestration tools like Airflow.
Relational Database Management System like MySQL, PostgreSQL, and SQL Server.
Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub.

Education Required:

Any Bachelors' degree

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