Job summary: Responsible for developing, designing, and implementing data solutions to support various analytical needs. Build and maintain data pipelines to support data analytics and machine learning models. Work with large and complex data sets to identify business trends and insights, and to design and implement data models for predictive analysis.
- Build and maintain data infrastructure and data pipelines to support data analytics and machine learning models.
- Manage, analyze and visualize large sets of data to turn information into insights accessible through multiple platforms.
- Develop and deploy machine learning models for various applications such as prediction, classification and clustering.
- Collaborate with cross-functional teams to deliver data solutions that drive business outcomes.
Requirements
- Degree in Computer Science, Data Science, or a related field.
- Experience with Azure data services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics and Azure Data Lake Storage.
- Proficient in Python, SQL, JAVA and Power BI
- Experience in building and deploying scalable data pipelines
- Strong knowledge of data modeling, schema design, data warehousing concepts and machine learning algorithms.
