Junior Python Developer focusing on web scraping and data extraction at Beemôn. Collaborating with the engineering team to develop and maintain data collection scripts.
About the role
- Data Engineer responsible for creating data pipelines and platforms using GCP and AWS. Collaborating with ambitious teams on complex data engineering challenges in a hybrid environment.
Responsibilities
- Work on data infrastructure, pipelines, platforms, and processing systems
- Build and evolve data infrastructure that scales
- Embed in a data engineering environment spanning multiple cloud platforms
- Handle complex challenges with large-scale data pipelines, distributed processing, and real-time streaming
- Collaborate with technical teams and stakeholders
Requirements
- Hands-on experience with Google Cloud Platform (GCP) for data engineering workloads
- Strong proficiency in Python
- Practical experience with Big Data tooling, including Apache Spark, Apache Kafka, Flink, Elasticsearch, Hadoop, Hive
- Solid knowledge of data modeling and database design principles
- Experience with data integration and ETL/ELT pipelines
- Strong SQL skills with experience across both relational and NoSQL databases
- Familiarity with additional cloud platforms including AWS or Azure
- Experience using Git for version control
- English at B2 level or above
Benefits
- Flexible work model
- Collaborative and technically ambitious team
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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