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# GCP Senior Data Engineer

- **Company:** HCL Technologies
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Computer Programming, Data Cleansing, Information Engineering, Data Transformation, Data Mining, Data Systems, Data Warehousing, Database Queries, Data Flow Control, Python (Programming Language), Systems Development Life Cycle, SQL Databases, Data Processing, Scripting, Freeform SQL, Google Cloud, Data Storage Technologies, Google Bigquery, Data Management, Stream Processing, Data Pipelines
- **Published:** November 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/gcp-senior-data-engineer-atlanta-ga--7c034c7f-f7fe-4758-8eeb-f5fe011d7e9c

## About the Role

GCP (Good Clinical Practices), Python Programming/Scripting Language, Data Management, Data Quality, SQL (Structured Query Language), Scalable System Development, Data Cleaning, Data Storage, Process Capability, Cloud Computing, 1. Proficiency in google bigquery for data warehousing and querying

 2. Strong sql skills for data extraction, transformation, and loading
 3. Advanced knowledge of python programming for data manipulation and analysis
 4. Experience with google dataflow for real-time data processing and analytics
 5. Familiarity with google cloud platform services and tools for data management
 6. Strong problem-solving skills and attention to detail
 7. Good communication and teamwork abilities
 8. Ability to work in a fast paced and dynamic environment

## Description

The Senior Developer will be responsible for utilizing Google BigQuery, SQL, Python, and Google Dataflow to develop and maintain data solutions that meet business requirements. They will play a critical role in optimizing data pipelines, ensuring data accuracy, and driving insights for business decision-making., 1. Develop, and maintain scalable data pipelines using google bigquery and google dataflow

 2. Write complex sql queries to extract and manipulate data efficiently
 3. Develop data transformation processes using python for data cleaning and preprocessing
 4. Collaborate within team to understand data requirements and deliver effective data solutions
 5. Optimize data storage, performance, and processing capabilities within google cloud platform
 6. Troubleshoot and resolve data related issues in a timely manner
 7. Implement data security and privacy measures in compliance with industry standards
 8. Stay updated on the latest trends and technologies in data engineering and analytics