Big Data Developer

Posted 5 Days Ago
Be an Early Applicant
Phoenix, AZ
Senior level
Information Technology
The Role
The Big Data Developer is responsible for designing and implementing large-scale big data platforms, leveraging technologies such as PySpark and GCP. This role involves processing large data sets, conducting data analysis, and working within an agile team to deliver business intelligence solutions.
Summary Generated by Built In

Role – Big Data Developer
Location – Phoenix, AZ
Duration: 12+ Months

Skills:

  • PySpark, Python, GCP
  • Strong experience with Spark , Data Frames
  • Big Query background with data processing for large volumes
  • Strong Python background

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 AWS & 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

Top Skills

Pyspark
Python
Scala
Spark
SQL
The Company
HQ: Phoenix, AZ
500 Employees
On-site Workplace
Year Founded: 2018

What We Do

We Empower & Transform customers’ business through the use of digital technologies.

Our core focus areas are Big-Data, Cloud, Analytics (AI, ML), Blockchain, Automation & Mobility.

We enable navigation of digital transformation for several fortune 1000 clients in USA, Canada, UK & India.
NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP.

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