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Pradeepit Consulting Services
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ETL Developer - Knime/Power BI (4-6 yrs)
Pradeepit Consulting Services
posted 20hr ago
Flexible timing
Key skills for the job
Job Title : ETL Developer (Knime, Power BI/Tableau).
Job Location : Bangalore.
Year of Experience : 4-6 Years.
Work Type : Hybrid.
Job Summary :
We are looking for a skilled ETL Developer with 4-6 years of experience in data extraction, transformation, and visualization using Knime and Power BI/Tableau.
The ideal candidate will have strong expertise in ETL development, data integration, and creating insightful dashboards to support business decision-making.
Key Responsibilities :
- ETL Development : Design, develop, and optimize ETL workflows using Knime for extracting, transforming, and loading data from various sources (databases, APIs, flat files, cloud services).
- Data Transformation & Cleansing : Utilize Knime nodes (e.g, Joiner, GroupBy, Pivoting) to ensure high-quality, structured data.
- Data Integration : Work with relational and NoSQL databases and integrate data from cloud platforms such as AWS, Azure, and Google Cloud.
- Data Visualization : Develop interactive dashboards and reports using Power BI or Tableau to present key business insights.
- Automation & Optimization : Automate workflows using Knime Server and enhance ETL processes for performance and scalability.
- Collaboration : Work closely with cross-functional teams to understand business needs and translate them into actionable data insights.
Required Skills :
- Strong expertise in Knime for ETL pipeline development, data transformation, and integration.
- Proficiency in Power BI or Tableau for creating visually appealing reports and dashboards.
- Advanced SQL skills for data querying and transformation.
- Experience with Knime Server for workflow automation.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data storage and processing.
- Knowledge of Python or R for advanced data processing within Knime.
Educational Requirements :
- Bachelor's degree in Computer Science, Data Science, or a related field.
Functional Areas: Software/Testing/Networking
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