F/M: Data Engineer

• Minimum 2.5 years of experience developing Data Lake.
• Minimum 1.5 years of experience working with Azure Databricks.
• English language proficiency at C1 level for effective communication.

Nice to have:

• Experience with Apache Spark.
• Experience with Unity Catalog.
• Experience building and maintaining CI/CD pipelines using Azure DevOps, GitHub, or similar.
• Experience with Infrastructure as Code (IaC) and configuration management, especially Terraform.
• Programming skills in Python.
• Experience with SQL.
• Experience working in projects using Scrum methodology.
• Experience ingesting and processing streaming data from Kafka sources.
• Integration with and development of API.
• Experience with dbt solutions.
• Experience in projects related to the energy sector, especially network operations.
• Experience with transmission system operator (TSO) projects.

Certifications (preferred but not required):

• Microsoft Certified: Azure Developer Associate
• Microsoft Certified: Fabric Data Engineer Associate
• Microsoft Certified: Azure Database Administrator Associate
• Databricks Certified Associate Developer for Apache Spark
• Databricks Certified Data Analyst Associate
• Databricks Certified Data Engineer Professional
• Databricks Certified Generative AI Engineer
• Databricks Certified ML Engineer Professional
• Databricks MVP
• Microsoft Azure MVP
• Microsoft Data Platform MVP
• dbt Architect Certification
• dbt Analytics Engineering Certification

• Develop and maintain Data Lake solutions.
• Work with Azure Databricks to build data processing solutions.
• Design, implement, and develop data processing pipelines.
• Collaborate with the team using Scrum methodology.
• Ensure quality, scalability, and reliability of solutions.