Requirements

Expected technologies

SQL

Python

Operating system

Windows

Our requirements

• Several years of experience with cloud services, ideally Microsoft Azure: Azure Data Factory, Azure Data Lake, Databricks/Spark, Function Apps, CI/CD, Terraform, Unity catalog.
• Solid experience with ETL processes and data transformations.
• Proficiency in Python and Pyspark, along with strong SQL skills.
• Clear communication in English.
• Ability to process large amounts of structured and unstructured data.

Your responsibilities

• As a Data Engineer, you will play a pivotal role in defining and executing analytics and BI requirements. You will design, develop, and support our cloud-based solutions, ensuring seamless data integration and transformation and furthermore:
• Collaborate with internal customers to define analytics and BI requirements.
• Build ETL pipelines using Azure PaaS tools, SQL, and/or Python on a Spark-based analytics platform.
• Design, develop, and support cloud-based analytics solutions and applications.
• Provide technical feedback to solution architects and developers.
• Perform data exploration and modeling to enhance data-driven decision-making.