Data Engineer - Knime (5-10 yrs)

Role : Data Engineer(Knime)

Are you an expert in Knime with a knack for seamless workflow conversion? We're on the lookout for a talented Data Engineer to join our team and make an impact

- Experience Required : 5 years+.

- Work Mode : Remote.

Must-Have Skills :

- Expert - level Knime proficiency.

- Strong experience with BI tools, including Alteryx, Tableau, Power BI, and Knime.

Key Responsibilities:.

- Convert Alteryx workflows to Knime.

- Collaborate with our Firm Knime users, addressing their queries and troubleshooting effectively.

- Design efficient Knime workflows, create data management processes, and architect rapid data solutions.

Exp : 6 - 8 Years

- 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.

- Proficiency in SQL and experience with databases, along with knowledge of Python or R for advanced data transformations, are essential.

- This role is ideal for a KNIME expert who enjoys building and managing data workflows, ensuring data quality, and contributing to data-driven decision-making across the organization.