Description and Requirements
Responsibilities
- Design, develop, and maintain interactive Power BI dashboards and reports, emphasizing automation, user experience, and data storytelling.
- Translate complex business requirements into effective data visualizations and reporting solutions.
- Integrate and manage data from financial platforms such as Aladdin and Refinitiv, ensuring data quality, consistency, and accessibility.
- Build and optimize data pipelines using Azure Data Factory, Azure Databricks, and other related Azure services.
- Perform data processing and transformation using SQL, Python, and PySpark to handle large-scale datasets.
- Support data ingestion into Azure Analysis Services and maintain structured data within the organization's Data Lake.
- Implement and uphold data quality standards, best practices, and maintain comprehensive technical documentation.
- Keep abreast of industry trends and advancements in Power BI, Azure, and data engineering to drive continuous innovation and efficiency.
- Collaborate closely with the project team and business users, providing timely support and addressing ad hoc development requests.
Requirements
- Bachelor's degree in computer science, Information Technology, or a related field.
- 3 to 5+ years of experience in data science, with at least 2-3 years of hands-on experience in data engineering or backend data workflows.
- Proficient in Azure Data Factory, Azure Databricks, Azure SQL, and Unity Catalog.
- Strong hands-on experience with SQL, Python, and PySpark for data manipulation and transformation.
- Solid expertise in Power BI, including DAX, data modeling, and custom visual development.
- Familiarity with Azure Analysis Services and experience in performance tuning.
- Strong analytical and problem-solving skills with a focus on data accuracy and reliability.
