Data Engineer

Responsibilities

• Build extremely efficient and reliable data pipelines
• Develop team's Power BI/Fabric semantic models
• Work on continuously improving user experience by measuring and optimizing performance of the semantic model
• Work on specifying data engineering requirements based on the semantic model designs and development requirements
• Contribute to the design of major feature enhancements for Fabric and leverage your experience and perspective to provide critical feedback
• Design and build data transformations efficiently and reliably for different purposes
• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
• Enhance applications by identifying opportunities for improvement and making recommendations
• Manage individual project priorities, deadlines and deliverables
• Work with teams to implement data solutions
• Investigate and use new technologies where relevant
• Other duties as assigned

Minimum Type of Experience the Job Requires

• Bachelors Degree or higher in Computer Science, or equivalent experience
• Experience building and maintaining data pipelines (e.g. Airflow, Prefect, Luigi)
• Fluency in SQL and Python
• Experience with project build with CI/CD pipelines through Jenkins
• Experience with Linux, Docker, and Cloud technologies and data systems architecture
• 2-4 years hand on software development experience, preferable in an industry data-oriented role (Data Engineer, Analytics Engineer, etc.)
• Excellent problem solving and debugging skills
• Knowledge of relational modeling concepts, and Microsoft tabular semantic models.
• Excellent communication and collaboration skills