Job Description

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, Big Table 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 effective 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: Big Query, Data Flow, Pub/Sub, Big Table, Data Fusion, Data Proc, 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 Big Query.
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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