Google Cloud Platform Data Engineer

Remote • Posted 2 hours ago • Updated 2 hours ago
Full Time
Remote
Fitment

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Job Details

Skills

  • Data Analysis
  • Extract
  • Transform
  • Load
  • Management
  • GCS
  • Cloud Computing
  • Python
  • Analytics
  • 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

Google Cloud Platform Data Engineer with 6 to 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 skillsGood experience in implementing data pipelinesHave 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.
A strong background and exposure to databases, including both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. Redis, Cassandra, MongoDB)
database systemsFamiliarity with real time streaming and processing of various data sources, including logs, time series telemetry data, unstructured social data and relational dataWould 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: ffff7c4296fcd5c048f8784e73766712
  • Posted 2 hours ago
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