Google Cloud Platform Data Engineer

• Posted 1 hour ago • Updated 1 hour ago

Full Time

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Engineering
JD
Data Analysis
Extract
Transform
Load
Management
GCS
Cloud Computing
Python
Apache Spark
Analytics
Microservices
Docker
Kubernetes
PostgreSQL
MySQL
NoSQL
Redis
Apache Cassandra
MongoDB
Database
Real-time
Streaming
Time Series
Migration
Data Warehouse
Big Data
Apache Hadoop
Google Cloud Platform
Google Cloud
Data Flow

Summary

Title: Google Cloud Platform Data Engineering

Location: Texas City, TX

Type : Fulltime

JD:

JD can be of Google Cloud Platform Data Engineer as below. Location remote for now in US. * Google Cloud Platform Data Engineer with 8+ years of experience in Data Analytics and Big Data. * Responsible for extract, transform and load (ETL) processes and the creation of applications that can connect to remote APIs. Preferably including streaming data into environments such as BigQuery on Google Cloud Management Platform. * Preferred Experience in implementing Data Pipelines leveraging Google Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable. * Strong background in Python programming skills * Good experience in implementing data pipelines on Big Data platform using Spark. * Have a good understanding of Google best practice/recommendation and should be able to align the same with the customer requirements to deliver best in class solution for the customer's Analytics requirements. * Working knowledge of microservices using Docker and Kubernetes * A strong background and exposure to databases, including both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. Redis, Cassandra, MongoDB) database systems * Familiarity with real time streaming and processing of various data sources, including logs, time series telemetry data, unstructured social data and relational data * Would be preferred to have been a part of implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to Google Cloud Platform (using Google BigQuery, DataFlow, DataProc etc.) * Work closely with Operations team to tune existing and new architecture.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183517
Position Id: 1b27773ace21c643c2eecbad1dd2c98b
Posted 1 hour ago

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