As a Data Engineer He/She will be responsible for designing, building, and maintaining the data architecture and infrastructure required for our organization's data needs. will also be responsible for developing, testing, and deploying data solutions, ensuring that they meet our organization's needs.

• +2 years of experience in Data Engineering
• Strong knowledge of Python for data processing and analysis
• Hands-on experience with Pandas and PySpark
• Experience with Databricks and Azure Data Factory
• Basic experience with Azure Synapse Spark
• Good SQL querying and optimization skills
• Experience in data pipelines and ETL workflows
• Knowledge aligned with Databricks Certified Data Engineering Associate
• Nice to have: SQL Server migration and Terraform for Azure
• L1 knowledge assessed in the Databricks certification: Databricks Certified Data Engineering Associate