GCP Data Engineer

On-siteSeniorData Engineerposted 2mo ago

✦Role summaryAI-generated

This senior-level data engineer role at NucleusTeq focuses on designing and optimizing scalable GCP-based data pipelines, leveraging PySpark and BigQuery to process massive datasets while ensuring high performance and reliability. The candidate will work closely with cross-functional teams to implement advanced data architectures, including NoSQL solutions like Spanner, while driving measurable business outcomes.

Skills required

Gcp bigquery Spark Spark dataframes Gcp dataproc Nosql spanner Python Airflow composer Scala Gcs operations Distributed data processing GCP BigQuery Airflow SQL Data engineering Business intelligence

About this role

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

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