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Must Have
- 3+ years of experience as a Data Engineer with a focus on cloud GCP cloud platform.
- Strong hands-on experience with GCP services such as BigQuery, Dataflow (Apache beam), Cloud Storage, Cloud Functions, Cloud Composer.
- Experience in building ETL/ELT pipelines and working with data integration frameworks.
- Proficiency in setting up IAM roles and policies, network configurations, and monitoring solutions to ensure robust and compliant data processing environments in GCP.
- Hands-on experience with Cloud Composer (Apache Airflow) or other orchestration tools to manage complex workflows.
- Deep knowledge of relational databases, data warehousing, and schema design in GCP environments.
- Troubleshoot and resolve issues related to data pipelines, workflows, and data storage configurations.
- Proficiency in scripting languages (e.g., Python, Bash) for automation and troubleshooting tasks.
- Familiarity with Apache Spark, Kafka, or other big data tools is a plus.
Good to have:
- Google Cloud Professional Data Engineer certification or other relevant GCP certifications.
- Experience in machine learning pipelines, VertexAi or MLOps is a bonus.
Key Skills
Ranked by relevance
cloud
gcp
apache
composer
storage
data warehousing
machine learning
big data
python
kafka
spark
mlops
bash
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- Posted
- Jul 23, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Helsinki
- Company
- PeopleLogic
Industries
IT Services
IT Consulting
Categories
Information Technology
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