Opens LinkedIn
- Employment type
- Contract
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Director
- Application method
- Direct apply is available
Job summary
Design, build, and maintain scalable data pipelines on Google Cloud Platform and BigQuery, and develop optimized SQL queries and dbt models for data transformation, testing, and documentation. Automate data processing with Python, monitor data quality, troubleshoot and optimize pipelines, and ensure data security, governance, and compliance.
Job details
Job Description: We are looking for an experienced GCP Data Engineer with strong hands-on experience in Google Cloud Platform, BigQuery, SQL, and data warehousing. Experience with dbt, Python, and telecommunications data is highly preferred. Key Responsibilities: Design, build, and maintain scalable data pipelines using GCP and BigQuery. Write complex and optimized SQL queries for data transformation and analysis. Develop and manage dbt models for data transformation, testing, and documentation. Use Python scripts for automation and data processing. Monitor data quality, troubleshoot pipeline issues, and optimize performance. Ensure data security, governance, and compliance. Required Skills: 7+ years of data engineering experience. Strong hands-on experience with GCP and BigQuery. Excellent SQL and data warehousing knowledge. Basic to intermediate Python scripting skills. Familiarity with Git and version control. Knowledge of dbt is an advantage. Experience with Telco, CES, call/chat, and network data is highly preferred.
What you’ll do
Design, build, and maintain scalable data pipelines on Google Cloud Platform and BigQuery, and develop optimized SQL queries and dbt models for data transformation, testing, and documentation. Automate data processing with Python, monitor data quality, troubleshoot and optimize pipelines, and ensure data security, governance, and compliance.
Requirements
Requires 7 or more years of data engineering experience, strong hands-on experience with Google Cloud Platform and BigQuery, and excellent SQL and data warehousing knowledge. Basic to intermediate Python scripting and familiarity with Git are required; dbt and experience with telecommunications, call/chat, and network data are preferred.
Listed skills
- SQL · Preferred
- Git · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Google Cloud Platform
- BigQuery
- SQL
- Data Warehousing
- Dbt
- Python
- Data Pipelines
- Data Transformation
- Data Quality
- Data Security
- Data Governance
- Git
- Telecommunications Data
- Call and Chat Data
- Network Data
Job areas
- Data & Analytics
- Technology
- Software
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