GCP Data Engineer
NucleusTeq•Phoenix, AZ
•Onsite
About The Position
We are seeking a skilled GCP Data Engineer with 5-7 years of experience to join our team in Phoenix, AZ. This role involves working with Google Cloud Platform (GCP) services and big data technologies to process and manage large volumes of data. The ideal candidate will have a strong background in Spark, PySpark, and Python, with extensive experience in BigQuery and data processing for large datasets. Experience with NoSQL databases like Spanner DB and Graph DB is a significant plus.
Requirements
- 5-7 years of experience as a big data engineer.
- Strong experience with Spark, Data Frames, PySpark, and Python.
- Extensive BigQuery background with data processing for large volumes.
- Experience with GCP services: GCS, DataProc, BigQuery, Composer/Airflow.
- Experience in SQL.
- Knowledge of PySpark, Spark, Python, Scala, Hive, Pig, and MapReduce.
- Proven and demonstrated experience working with or on a mature, self-organized agile team.
Nice To Haves
- Experience with another NoSQL DB like Spanner DB.
- Experience with Graph DB.
Responsibilities
- Design and implement scalable data processing solutions on GCP.
- Develop and optimize data pipelines using PySpark, Spark, and Python.
- Work with large-scale data volumes in BigQuery.
- Utilize GCP services such as GCS, DataProc, and Composer/Airflow.
- Collaborate with agile teams to deliver data engineering solutions.
- Articulate use cases supported and outcomes driven.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
