Nucleus Teq
Nucleus Teq

GCP Data Engineer

TLDR

Design large-scale enterprise data platforms using GCP, Spark, Python, and BigQuery to process large volumes of data.

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

NucleusTeq builds advanced technology solutions focused on Data Engineering, Cloud, AI, and Digital Transformation, partnering with Fortune 1000 enterprises to modernize their operations. What sets us apart is our innovative product, NuoData, which provides AI-driven analytics and supports enterprise data modernization. We’re not just about technology; we’re about delivering measurable business outcomes that empower our clients to innovate and grow.

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