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About the role
ETL Development: Build and optimize ETL workflows using Knime for data extraction, transformation, and loading from various sources (databases, APIs, flat files, cloud services). - Data Transformation & Cleansing: Use Knime nodes (e.g., Joiner, GroupBy, Pivoting) for data cleaning, preprocessing, and transformation to ensure high data quality. - Data Integration: Integrate data from relational, NoSQL databases, and cloud platforms (AWS, Azure, Google Cloud). - Data Visualization: Create interactive dashboards and reports using Power BI to visualize key business insights. - Automation & Optimization: Automate workflows using Knime Server, and optimize ETL processes for performance and scalability. - Collaboration: Work with cross-functional teams to understand business needs and deliver actionable data insights. Required Skills: - Solid experience with Knime for building ETL pipelines, data integration, and transformation. - Proficiency in Power BI or Tableau for designing data visualizations and dashboards. - Advanced SQL skills for querying and transforming data. - Experience with Knime Server for workflow automation. - Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing. - Knowledge of Python or R for advanced data processing within Knime. .
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