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GCP Data Engineer

Nucleusteq

Phoenix, AZJobSeen 2mo agoSeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Phoenix, AZ
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Nucleusteq is hiring a GCP Data Engineer. The GCP Data Engineer role in Phoenix, AZ involves designing and implementing large‑scale data platforms on Google Cloud. The candidate will work with BigQuery, DataProc, Spark, PySpark and other big‑data technologies to process massive data sets, support business intelligence delivery, and collaborate within an agile team over a 12‑month engagement.

Important skills include Cloud Storage, Dataproc, BigQuery, Composer/Airflow, PySpark, and Apache Spark.

Skills & qualifications

RequiredNice to have

Skills

Cloud StorageDataprocBigQueryComposer/AirflowPySparkApache SparkPythonScalaHivePigMapReduceSpanner DBGraph DBSQLLarge Scale Data EngineeringBusiness Intelligence DeliveryEnterprise Big Data Platform DesignLarge Data Set AnalysisAgile Team Collaboration

Qualifications

Bachelor's in Computer Science or Equivalent6+ Years Experience as Big Data EngineerMust Be Able to Articulate Use Cases

Full job description

Role – GCP Data Engineer

Location – Phoenix, AZ

Duration: 12+ Months

Skills:

  • Years of experience : 5-7 years

  • GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow

  • Big Data: PySpark

  • Spark, Python, GCP is must have

  • Strong experience with Spark , Data Frames

  • Big Query background with data processing for large volumes

  • Another NO Sql DB is big plus - Spanner DB & Graph DB

Qualifications:

  • Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field (or equivalent work experience)

  • 6+ years of experience working as a big data engineer (Required) must be able to articulate use cases supported and outcomes driven.

  • knowledge of the following (expectation is to demonstrate these skills live during the interview): PySpark, Spark, Python, Scala, Hive, Pig, and MapReduce.

  • Experience in GCP.

  • Experience in SQL.

  • Large scale data engineering and business intelligence delivery experience

  • Design of large-scale enterprise level big data platforms

  • Experience working with and performing analysis using large data sets

  • Proven and Demonstrated experience working with or on a mature, self-organized agile team

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