Full-Time Data Engineer
Hiflylabs is hiring a remote Full-Time Data Engineer. The career level for this job opening is Experienced and is accepting Hungary based applicants remotely. Read complete job description before applying.
Hiflylabs
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About the Job/What will you do?
At Hiflylabs we are looking to expand our Data Platform team. This team works with a wide range of clients, not only Hungarian clients, but also an increasing number of international clients.
We're currently looking for a new member to join our team as we continue to grow, working directly with one of our banking clients. Join our team and work on cutting-edge migration projects and build new cloud platforms. You will work with both technical and business-oriented colleagues, both at Hiflylabs and on the client side. You'll have the opportunity to understand the business operations as well as the technical details.
Main Tasks
- Participate in our data projects building data pipelines, migrate ETL processes from on-premise data warehouses
- Design and build data pipelines mostly on Azure and/or Databricks platform
- Design, develop, and test solutions to extract and transfer data from on-premise or cloud-based source systems
- Create data transformations
- Create complex data-driven solutions
Requirements
- 3+ years of experience in Data Engineering
- Experience with Azure or Databricks data stack, and hands-on experience with batch processing, storing, loading, and transforming structured datasets
- Solid SQL knowledge
- Comfortable with working in a small team
- Able to work independently and reliably
- Proactive, eager to learn
- At least intermediate proficiency in English (both oral and written)
Advantages
- Experience with AWS or GCP data stack, and hands-on experience with batch processing, storing, loading, and transforming structured datasets, data lake storage, and management experience
- Skilled in data warehouse design and implementation
- Experience in using Python/PySpark for data management
- Stream processing proficiency
- Spark experience
- Competent in cloud infrastructure design, scaling, and implementation
- Technical team leading experience
- Completed Databricks Data Engineering Associate/Professional certification
- Completed Microsoft Azure Data Engineering Associate certification
- Completed Microsoft Azure and Azure Data Fundamentals certification