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GCP Python Data Engineer
Job Location:
Job Location:
Phoenix, AZ - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
17 September 2026 (2 days ago)
Posted:
Application Deadline:
15 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: GCP Python Data Engineer
Location: Phoenix AZ 85004 (Onsite)
Duration: 06 Months
Interview Process (Is face to face required): Yes (2nd round)
Job Details:
Must Have Skills (Top 3 technical skills only) *
1. Strong programming experience in Python.
2. Hands on experience with Google Cloud Platform (GCP).
3. Advanced SQL development and query optimization.
Detailed Job Description:
seeking a skilled GCP Python Data Engineer to design develop and maintain scalable cloudbased data solutions on Google Cloud Platform GCP. The ideal candidate will have strong expertise in Python SQL BigQuery Cloud Composer Airflow Dataflow Dataproc and modern ETLELT frameworks. The role involves building data pipelines optimizing data processing workflows and enabling analytics and business intelligence solutions.
Minimum years of experience*: 8-10 years
Top 3 responsibilities:
1. ETL ELT development experience. Experience with PySpark Spark.
2. Understanding of Data Warehousing concepts and dimensional modeling.
3. Design develop and maintain scalable batch and realtime data pipelines on GCP.
Location: Phoenix AZ 85004 (Onsite)
Duration: 06 Months
Interview Process (Is face to face required): Yes (2nd round)
Job Details:
Must Have Skills (Top 3 technical skills only) *
1. Strong programming experience in Python.
2. Hands on experience with Google Cloud Platform (GCP).
3. Advanced SQL development and query optimization.
Detailed Job Description:
seeking a skilled GCP Python Data Engineer to design develop and maintain scalable cloudbased data solutions on Google Cloud Platform GCP. The ideal candidate will have strong expertise in Python SQL BigQuery Cloud Composer Airflow Dataflow Dataproc and modern ETLELT frameworks. The role involves building data pipelines optimizing data processing workflows and enabling analytics and business intelligence solutions.
Minimum years of experience*: 8-10 years
Top 3 responsibilities:
1. ETL ELT development experience. Experience with PySpark Spark.
2. Understanding of Data Warehousing concepts and dimensional modeling.
3. Design develop and maintain scalable batch and realtime data pipelines on GCP.
Required Experience:
IC
