Data Engineer : F2F @ Phoenix, AZ

Company Description

NucleusTeq is a global leader in software services, specializing in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. Headquartered in Phoenix, Arizona, the company empowers Fortune 100 enterprises with innovative, AI-driven solutions, scalable architectures, and comprehensive data transformation services. Leveraging its proprietary platform, NuoData, NucleusTeq delivers cutting-edge capabilities in data governance, real-time analytics, and enterprise AI/ML frameworks. With advanced automation, scalable cloud solutions, and robust security integrations, NucleusTeq drives digital transformation for businesses worldwide. Please have a look at NucleusTeq Website and its product. We are Phoenix based company with offshore center in Indore, Raipur & Bhilai and people are working from various parts of India likewise Delhi-NCR, Pune, Bengaluru & Hyderabad etc.  

Role – Google Cloud Platform Data Engineer

Skills:

• Years of experience :  5-7 years
• Google Cloud Platform Cloud : GCS, DataProc, BigQuery, Composer/Airflow
• Big Data: PySpark
• Spark, Python, Google Cloud Platform 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 Google Cloud Platform.  
• 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