Senior Data Architect
3 weeks ago
Role: Data Engineer (Knime)
Are you an expert in Knime with a knack for seamless workflow conversion?
We're seeking a talented Data Engineer to make an impact at Steerlean Consulting Services Pvt Ltd.
Key Responsibilities
- Convert Alteryx workflows to Knime.
- Collaborate with our Knime users, addressing queries and troubleshooting effectively.
- Design efficient Knime workflows, create data management processes, and architect rapid data solutions.
Requirements
- Expert-level Knime proficiency.
- Strong experience with BI tools, including Alteryx, Tableau, Power BI, and Knime.
- Proficiency in SQL and experience with databases, along with knowledge of Python or R for advanced data transformations.
This role requires a strong foundation in data engineering, ETL processes, and data pipeline development, with hands-on experience in using KNIME for complex data processing, transformation, and integration tasks.
As a Data Engineer, you will design, develop, and maintain scalable data pipelines, translating business and analytics requirements into effective KNIME workflows.
You will also play a key role in integrating data from diverse sources, developing transformation workflows to support analytics, and creating reusable components to enhance efficiency.
Ensuring data quality and accuracy is critical, and you will implement validation, profiling, and cleansing processes to maintain data integrity and address any quality issues as they arise.
Additionally, this role involves optimizing KNIME workflows for performance and resource usage, requiring a proactive approach to identifying bottlenecks and staying current with KNIME updates and best practices.
Documentation is an essential aspect of this position, as you will document data workflows, ETL processes, and reusable standards to support transparency and reproducibility.
You will also be expected to mentor junior team members, sharing best practices to enhance team skills in KNIME.
Excellent communication skills are key, as you will collaborate with cross-functional teams to align on data requirements and provide insights.
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