GCP Data Engineer
NucleusTeq · Phoenix, Arizona, United States
IT Services and IT Consulting · 201-500 employees
Yesterday
Senior (5-10 yrs)
Contractor
United States
Log in
to apply, save this posting, or score it against your profile with AI.
About the role
Design and implement large-scale enterprise-level big data platforms using GCP services. Perform analysis on large data sets and deliver business intelligence solutions within an agile team environment.
What they look for
GCP
GCS
DataProc
BigQuery
Composer
Airflow
PySpark
Spark
Python
Scala
Hive
Pig
MapReduce
SQL
Spanner DB
Graph DB
Requirements
Requires 6+ years of experience as a big data engineer and a degree in a technology-related field. Must demonstrate proficiency in PySpark, Spark, Python, SQL, and GCP cloud technologies.
Full 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
