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# GCP Senior Technical Specialist

- **Company:** HCL Technologies
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Programming, Data Files, Data Integrity, Data Warehousing, Database Design, Data Flow Control, Python (Programming Language), SQL Databases, Data Processing, Scripting, Er-Win, Data Analytics, Google Bigquery, Data Management, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/gcp-senior-technical-specialist--b039ea43-eab7-4219-b1e8-b4ef516dbb33

## About the Role

GCP (Good Clinical Practices), GCP (Good Clinical Practices), Python Programming/Scripting Language, erwin Data Modeler, SQL (Structured Query Language), Data Analysis, Data Management, Data Processing, Data Sets, Query Analysis, 1. Proficiency in google bigquery for data warehousing and processing.

 2. Strong command over sql for querying and analyzing datasets.
 3. Advanced knowledge of python programming for data manipulation and automation.
 4. Experience with google dataflow for building and optimizing data pipelines.
 5. Familiarity with ca erwin data modeler for effective data modeling and database design.
 6. Strong analytical and problem-solving skills to handle complex data related challenges.
 7. Excellent communication skills to collaborate with cross functional teams and stakeholders effectively.
 8. Ability to work in a fast paced environment and manage multiple priorities simultaneously.

Other Requirements

1.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a plus.

## Description

The Senior Technical Specialist will be responsible for implementing and optimizing solutions using Google BigQuery, SQL, Python, Google Dataflow, and CA Erwin Data Modeler. The role entails working on data transformations, analytics, and modeling to provide valuable insights to the organization., 1. Design, develop, and maintain google bigquery data pipelines for efficient data processing.

 2. Utilize sql for querying and analyzing large datasets in google bigquery.
 3. Develop and implement python scripts for automation and data manipulation tasks.
 4. Create and optimize data processing pipelines using google dataflow.
 5. Collaborate with stakeholders to understand data modeling requirements and utilize ca erwin data modeler for effective data modeling.
 6. Monitor data quality, troubleshoot issues, and ensure data integrity across systems.
 7. Stay updated with the latest technological advancements in data analytics and contribute to process improvements.