Requirements

Expected technologies

Python

SQL

Microsoft Azure

AWS

Operating system

Windows

Our requirements

• A master’s degree in data, Computer Science, Information Management, or a related field.
• Experience of 5+ years in the domain of software and data engineering, with relevant years in Data Pipeline Engineering and Integration.
• Strong proficiency in Databricks and/or Fabric and a deep understanding of its core functions and tools to optimize data workflows, date modelling and analytics.
• Extensive experience with programming languages such as Python, especially for data manipulation and automation.
• Proficient in SQL for complex query development, and data extraction across varied databases.
• Hands-on experience with DevOps, ensuring smooth and reliable software delivery and code deployments..
• Expertise in data modelling, data integration, metadata management, and data governance to establish robust and scalable data architectures.
• Strong experience of 4+ years with Cloud Technologies, such as Azure and AWS. Certifications are a plus.

Your responsibilities

• Dedicated engineering prioritized by the team Product Manager.
• Support the DK based core team in developing new product/models.
• Take lead in tasks given by Product Manager, aligning with stakeholders.
• Plan and execute your work in Azure DevOps.
• Document all work to be transparent for the rest of the team.
• Ensure the delivery of high-quality work. Trust in data is our most valuable currency.
• Collaborate with cross-functional teams to understand and address technical requirements in addition to implementing efficiency improvements.