GCP Data Engineer

Capgemini; United States; Remote; USD 51.000 - 80.000; Vollzeit

Benefits dieser Stelle

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Zusammenfassung

Capgemini is seeking a GCP Data Engineer to design, build, and scale data pipelines in GCP with a focus on BigQuery, SQL, and data warehousing. You will also work with DBT to transform raw data into curated datasets and collaborate with analysts, data scientists, and stakeholders to meet business needs.

The role requires strong Python scripting, Git usage, and solid data governance knowledge, with experience in large telecommunications datasets and cross-functional teams.

Qualifikationen

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in Data Engineering or a closely related role.
• Strong hands-on experience with Google Cloud Platform (GCP), particularly BigQuery.
• Advanced SQL skills with the ability to write and optimize complex queries.
• Solid understanding of data warehousing concepts, architecture, and best practices.
• Experience building and supporting scalable data pipelines.
• Working knowledge of Python for scripting, automation, and operational support.
• Experience using Git or other version control systems.
• Strong analytical, troubleshooting, and communication skills.

Aufgaben

• Design, build, and maintain scalable data pipelines within GCP, leveraging BigQuery and related cloud services.
• Develop and optimize complex SQL queries for data extraction, transformation, and analytics.
• Build and maintain data warehousing solutions that support performance, scalability, and reliability requirements.
• Develop and manage DBT models for transforming raw data into curated, tested, and documented datasets.
• Collaborate with data analysts, data scientists, and business stakeholders to translate business requirements into technical solutions.
• Monitor data pipeline health, troubleshoot performance bottlenecks, and resolve data quality issues.
• Automate operational processes and data workflows using Python scripting where appropriate.
• Ensure adherence to data governance, security, and compliance standards.
• Support the ingestion, transformation, and analysis of telecommunications datasets, including customer experience, call, chat, and network data.

Kenntnisse

SQL

Data modeling

Analytical thinking

Troubleshooting

Communication

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

GCP

BigQuery

Git

Python

Jobbeschreibung

We are seeking a GCP Data Engineer with strong experience designing and building scalable data solutions within Google Cloud Platform (GCP). This role will focus heavily on BigQuery-based data engineering, SQL development, and data warehousing, with additional exposure to DBT for data transformation and modeling. The ideal candidate will have experience working with large-scale telecommunications datasets, including customer experience (CES), call, chat, and network data, and will partner with cross-functional teams to deliver reliable, high-quality data solutions.

Key Responsibilities

Design, build, and maintain scalable data pipelines within GCP, leveraging BigQuery and related cloud services.

Develop and optimize complex SQL queries for data extraction, transformation, and analytics.

Build and maintain data warehousing solutions that support performance, scalability, and reliability requirements.

Develop and manage DBT models for transforming raw data into curated, tested, and documented datasets.

Collaborate with data analysts, data scientists, and business stakeholders to translate business requirements into technical solutions.

Monitor data pipeline health, troubleshoot performance bottlenecks, and resolve data quality issues.

Automate operational processes and data workflows using Python scripting where appropriate.

Ensure adherence to data governance, security, and compliance standards.

Support the ingestion, transformation, and analysis of telecommunications datasets, including customer experience, call, chat, and network data.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, or a related field.

5+ years of experience in Data Engineering or a closely related role.

Strong hands-on experience with Google Cloud Platform (GCP), particularly BigQuery.

Advanced SQL skills with the ability to write and optimize complex queries.

Solid understanding of data warehousing concepts, architecture, and best practices.

Experience building and supporting scalable data pipelines.

Working knowledge of Python for scripting, automation, and operational support.

Experience using Git or other version control systems.

Strong analytical, troubleshooting, and communication skills.

The pay range that the employer in good faith reasonably expects to pay for this position is $37.37/hour - $58.39/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.