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GCP Data Engineer with Java

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This role is for a GCP Data Engineer with Java, offering a long-term contract in a hybrid setting in Minneapolis, MN. Key requirements include 6-8 years of data engineering experience, strong Java development skills, and expertise in Google Cloud BigQuery and related technologies.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 4, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Minneapolis, MN
🧠 - Skills detailed
#Java #Data Mapping #Batch #SQL (Structured Query Language) #Storage #Data Engineering #PHP #"ETL (Extract #Transform #Load)" #Scripting #Unix #Programming #JavaScript #Databases #Ruby #EDW (Enterprise Data Warehouse) #GCP (Google Cloud Platform) #Hadoop #Cloudera #Cloud #Dataflow #Big Data
Role description

Role: GCP Data Engineer with Java

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Location: Hybrid in Minneapolis, MN

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Duration: Long Term

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Job Description:

   • Strong Java Development Experience is mandatory

   • 6-8 years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies

   • Demonstrable knowledge & Experience using Google Cloud Big Query is mandatory

   • Experience with DataProc & DataFlows with Java on Google Cloud Platform.

   • Experience with serverless data warehousing concepts on Google Cloud.

   • Experience with DWBI modelling framework is highly regarded

   • Extensive experience working with SQL across a variety of databases

   • Experience working with both structured and unstructured data sources using cloud analytics (Cloudera , Hadoopo etc.)

   • Experience with Data Mapping and Modelling

   • Experience with Data Analytics tools

   • Proven ability in one or more of the following programming or scripting languages- JavaScript, Java, UNIX Shell, php, ruby.

   • Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table

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