GCP Data Engineer

We are Hiring an experienced GCP Data Engineer to join our team in Helsinki, Finland. The ideal candidate will have strong hands-on experience in Google Cloud Platform (GCP) services and data engineering practices, with a proven track record of building scalable and robust data pipelines in cloud environments.

This role involves designing, developing, and maintaining ETL/ELT pipelines while ensuring secure, compliant, and high-performing data processing solutions within GCP.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using GCP services.
• Build and optimize data solutions using BigQuery, Dataflow (Apache Beam), Cloud Storage, Cloud Functions, and Cloud Composer.
• Implement workflow orchestration using Cloud Composer (Apache Airflow) or similar tools.
• Configure and manage IAM roles, policies, networking, and monitoring solutions within GCP.
• Ensure high availability, performance, and data integrity across cloud environments.
• Troubleshoot and resolve issues related to data pipelines, workflows, and storage configurations.
• Design and implement efficient schema models for data warehousing solutions.
• Automate processes using scripting languages such as Python and Bash.
• Collaborate with cross-functional teams including data scientists and DevOps engineers.

Required Skills & Experience

• 4+ years of experience as a Data Engineer with strong focus on Google Cloud Platform.
• Hands-on experience with:
• BigQuery
• Dataflow (Apache Beam)
• Cloud Storage
• Cloud Functions
• Cloud Composer (Apache Airflow)
• Experience building and maintaining ETL/ELT pipelines.
• Strong knowledge of relational databases and data warehousing concepts.
• Experience configuring IAM roles, policies, and network settings in GCP.
• Proficiency in Python and/or Bash scripting.
• Strong troubleshooting and analytical skills.

Preferred Qualifications

• Google Cloud Professional Data Engineer certification (or other relevant GCP certifications).
• Experience with machine learning pipelines, Vertex AI, or MLOps.
• Familiarity with Apache Spark, Kafka, or other big data technologies.