GCP Data Engineer

Job summary

Design, build, and maintain scalable data pipelines and data warehousing solutions on GCP, primarily using BigQuery, and develop DBT models to transform raw data into tested, documented datasets. Collaborate with analysts, data scientists, and stakeholders; optimize SQL, monitor pipeline performance and data quality, automate tasks with Python, and uphold governance, security, and compliance standards.

Job details

We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling. This role requires strong SQL skills, a solid understanding of data warehousing concepts, and light proficiency in Python for scripting and automation. Strong understanding of Telco - CES and Network Data. Calls, Chats, Network data. Key Responsibilities Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery. Nice to have the experience to Develop and manage DBT models to transform raw data into clean, tested, and documented datasets. Write complex and optimized SQL queries for data extraction, transformation, and analysis. Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions. Monitor and troubleshoot data pipeline performance and data quality issues. Automate data workflows and tasks using Python scripts where necessary. Ensure data governance, security, and compliance standards are met. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or a related field. 5 years of experience in data engineering or a similar role. Strong expertise in SQL with the ability to write efficient, complex queries. Nice to have knowledge in DBT for data modeling and transformation Hands-on experience with BigQuery and other GCP data services. Solid understanding of data warehousing principles and best practices. Basic to intermediate skills in Python for scripting and automation. Familiarity with version control systems like Git. Excellent problem-solving and communication skills.

What you’ll do

Design, build, and maintain scalable data pipelines and data warehousing solutions on GCP, primarily using BigQuery, and develop DBT models to transform raw data into tested, documented datasets. Collaborate with analysts, data scientists, and stakeholders; optimize SQL, monitor pipeline performance and data quality, automate tasks with Python, and uphold governance, security, and compliance standards.

Requirements

Requires a bachelor’s degree in Computer Science, Information Systems, or a related field, and five years of experience in data engineering or a similar role. Candidates should have strong SQL skills, hands-on BigQuery and GCP experience, knowledge of data warehousing, basic-to-intermediate Python skills, familiarity with Git, and preferably DBT experience.

Listed skills

• SQL · Preferred
• Git · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Google Cloud Platform
• BigQuery
• DBT
• SQL
• Python
• Data Engineering
• Data Warehousing
• Data Pipeline Development
• Data Modeling
• Data Transformation
• Git
• Data Governance
• Data Quality
• Telco Data
• Network Data

Job areas

• Data & Analytics
• Technology
• Software

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