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Engineer II - Big Data/ Data Warehousing - GCP Data Transformation

Computer Task Group, Inc
locationPhoenix, AZ, USA
PublishedPublished: 6/14/2022
Technology
Full Time

Job Description

Job Description

Overview

CTG is seeking to fill an Engineer II – Big Data/Data Warehousing – GCP Data Transformation position for our client.

Location: Phoenix, AZ
Duration: Ongoing contract

Duties:

  • Design, develop, and implement scalable data transformation pipelines on GCP (LUMI platform).

  • Perform hands-on data engineering tasks including ingestion, transformation, validation, and backfill processing.

  • Develop and optimize complex SQL queries and PySpark jobs for large-scale data processing.

  • Build and maintain data models supporting analytics, reporting, and downstream applications.

  • Ensure data quality, integrity, and consistency across enterprise data warehouse environments.

  • Collaborate with cross-functional teams including architects, analysts, and application developers to deliver data solutions.

  • Troubleshoot and resolve data pipeline and performance issues in a cloud-native environment.

  • Adhere to best practices in data governance, security, and DevOps within GCP.

Skills:

  • Strong hands-on experience with Data Transformation on GCP (LUMI).

  • Extensive knowledge of data modeling concepts (dimensional, normalized, and hybrid models).

  • Advanced SQL development skills, including performance tuning and query optimization.

  • Strong PySpark development experience for large-scale data processing.

  • Experience with ETL/ELT frameworks in Big Data and Data Warehousing environments.

  • Understanding of data backfill strategies and historical data processing.

  • Familiarity with GCP data services (e.g., BigQuery, Cloud Storage, Dataproc) preferred.

  • Knowledge of CI/CD practices and version control systems is a plus.

Experience:

  • 3–5+ years of experience in Big Data/Data Warehousing environments.

  • Proven experience developing and supporting enterprise-grade data pipelines.

  • Demonstrated hands-on expertise in GCP-based data engineering and transformation initiatives.

Education:

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field (or equivalent work experience).

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

To Apply:
To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Rebecca Olan at Rebecca.Olan@ctg.com. Kindly forward this to any other interested parties. Thank you!

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