Responsibilities:
Leverage Power BI, Databricks, and Python to conduct advanced data analysis, develop dashboards, and deliver actionable insights that support strategic decision-making
Maintain Data Warehouse / Data Lake solutions, including AI-driven analytics and machine learning model integration.
Collaborate with different stakeholders to address data integrity issues and ensure data accuracy and consistency.
Create or update documentation in support of development, which may include detailed specifications, data flow diagrams, and AI model documentation.
Develop ETL / ELT jobs for Data Warehouse / Data Lake on Azure
Provide support for ad hoc projects and initiatives as assigned, contributing analytical expertise and reporting capabilities.
Requirements:
Bachelor’s degree in Computer Science, Information Technology, Mathematics, or relevant disciplines.
3 years or above experience with ETL and data pipeline development and implementation. Candidates with more experience will be considered for a senior position.
Solid foundation in SQL with the ability to write queries of varying complexity.
Knowledge of programming languages such as Python, C++, C#, or Java is advantageous.
Experience of PySpark, Power BI, Azure Synapse, and AI/ML frameworks is a plus.
Proven Experience with Microsoft Azure Cloud
Strong problem-solving skills and the ability to thrive in a dynamic and fast-paced environment.
Strong communication and collaboration skills.
Good analytical problem-solving skills.
Proactive attitude with the ability to work with minimal supervision and take initiative in projects.
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Full-time