GCP Data Engineer
NucleusTeq Inc.
Phoenix, AZ, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Airflow
Big Data
BigQuery
Cloud Computing
MapReduce
Apache Hive
Python (Programming Language)
NoSQL
Cloudera
Scala (Programming Language)
SQL Databases
Data Processing
+5 more
Scripting
Google Cloud
Apache Spark
Pyspark
Information Technology
Requirements
GCP (Good Clinical Practices), GCP (Good Clinical Practices), Cloud Computing, Big Data, Python Programming/Scripting Language, Data Processing, NoSQL, SQL Databases, Computer Science, Mathematics, * 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, * 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
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