NucleusTeq

AI-driven enterprise software and data modernization

GCP Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timePhoenix, AZ, USANo salary listedIn-person

About the Job

Requirements

At least 6 years of experience working as a big data engineer; candidates must be able to articulate supported use cases and outcomes.
Demonstrated knowledge of PySpark, Spark, Python, Scala, Hive, Pig, and MapReduce, including the ability to demonstrate these skills live during the interview.
Experience with Google Cloud Platform.
Experience with SQL.
Experience delivering large-scale data engineering and business intelligence.
Experience designing large-scale enterprise-level big data platforms.
Experience working with and performing analysis using large data sets.
Demonstrated experience working with or on a mature, self-organized agile team.
A degree in Computer Science, Applied Mathematics, Engineering, or another technology-related field, or equivalent work experience.

Desired Qualifications

Experience with a NoSQL database, such as Spanner DB or a graph database.

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

About the Company

NucleusTeq

AI-driven enterprise software and data modernization

NucleusTeq delivers AI-powered software services and products to large enterprises, focusing on data modernization, cloud migration, and enterprise automation. Its flagship NuoData platform provides end-to-end data modernization, governance, and analytics to reduce integration costs and simplify data management. The company distinguishes itself through partnerships with AWS, Google Cloud, Microsoft Azure, and Snowflake, plus an experienced leadership team and a global delivery network. Its goal is to help Fortune 500 and 1000 firms upgrade legacy systems and speed digital transformation using AI-driven solutions.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Phoenix, AZ
Founded: 2018

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