GCP Data Engineer

About Kagool

We are a fast-growing IT consultancy specializing in the transformation of complex Global enterprises. We are looking for passionate and hardworking individuals to help deliver for our global customer base. We embrace the opportunities of the future and work proactively to make good use of technology. As you can imagine, this means that we have a vibrant and diverse mix of skills and people making Kagool a great place to work.

About the Role

We are looking for a skilled and motivated GCP Data Engineer to design, build, optimize, and maintain scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong experience in cloud-based data engineering, ETL/ELT pipelines, big data technologies, and modern data warehousing solutions.

You will work closely with data analysts, data scientists, DevOps teams, and business stakeholders to deliver reliable, secure, and high-performance data platforms and pipelines.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP services
• Build and optimize ETL/ELT workflows for structured and unstructured data
• Develop and manage data lakes and data warehouses on GCP
• Implement data integration solutions using batch and real-time streaming technologies
• Work with large datasets using distributed processing frameworks
• Optimize query performance, storage, and compute costs
• Ensure data quality, governance, security, and compliance standards
• Automate deployment and monitoring of data engineering solutions
• Collaborate with cross-functional teams to gather business and technical requirements
• Troubleshoot production issues and provide long-term solutions
• Create technical documentation and best practices

Required Skills & Qualifications

Technical Skills

Strong experience with Google Cloud Platform (GCP) services -

• BigQuery
• Cloud Storage
• Dataflow
• Pub/Sub
• Cloud Composer / Apache Airflow
• Dataproc
• Cloud Functions
• Looker / BI tools
• SQL and advanced query optimization
• Python or Java/Scala, Apache Spark
• ETL/ELT development
• CI/CD pipelines
• Git version control

Experience with:

• Real-time data streaming
• Data modelling and warehousing concepts
• REST APIs and data integration
• Infrastructure as Code (Terraform preferred)
• Monitoring and logging tools

Preferred Qualifications:

• GCP Associate Data Practitioner (Mandatory)
• GCP Professional Data Engineer Certification (Mandatory)
• Experience with Kubernetes or Docker
• Exposure to machine learning pipelines
• Knowledge of data governance and security frameworks
• Experience working in Agile/Scrum teams

Education & Experience

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• 3+ years of experience in Data Engineering
• 2+ years of hands-on experience with GCP services

Nice to Have

• Experience with multi-cloud environments (AWS/Azure)
• Experience with Snowflake or other cloud data warehouses
• Understanding of DevOps/DataOps practices

Career at Kagool

A career at Kagool will give you a path towards progression and opportunities, with the current rate of growth we at Kagool have dedicated time towards individual growth, recognizing individual contributions, filling the team with a strong sense of purpose along with providing a fun, flexible and friendly work environment.