KNIME Specialist

KNIME Specialist – Drive Data-Driven Innovation with Advanced Analytics

Are you passionate about transforming raw data into actionable insights through cutting-edge workflow automation? As a **KNIME Specialist**, you will play a pivotal role in designing, optimizing, and maintaining scalable data pipelines that empower our organization’s analytical capabilities. This position demands a deep expertise in KNIME, coupled with a proactive mindset to enhance data workflows, ensure seamless integrations, and deliver high-performance solutions. If you thrive in a dynamic environment where technical precision meets business impact, we invite you to join our team and contribute to the future of data-driven decision-making.

In this dynamic role, you will collaborate with cross-functional teams—including data scientists, engineers, and business stakeholders—to develop robust, enterprise-grade KNIME workflows that streamline ETL processes, improve data quality, and accelerate insights. Your expertise will be instrumental in integrating KNIME with diverse data sources, ensuring seamless connectivity with our infrastructure while maintaining security and compliance standards. Beyond development, you will oversee the administration, monitoring, and optimization of KNIME environments, troubleshooting issues with precision and implementing solutions that enhance performance and reliability.

As a key contributor to our data ecosystem, you will lead workflow regression testing, validate post-upgrade changes, and ensure smooth deployments across production environments. Your ability to document technical processes and facilitate knowledge transfer will further strengthen our team’s capabilities, fostering a culture of collaboration and continuous improvement. Whether you’re refining existing workflows or pioneering new analytical approaches, your work will directly impact how we leverage data to drive innovation and operational excellence.

Key Responsibilities

• Design and Develop High-Performance KNIME Workflows: Create, maintain, and optimize end-to-end data workflows that automate ETL processes, data preparation, and analytical tasks, ensuring efficiency and scalability.
• Lead Data Integration Initiatives: Seamlessly integrate KNIME with enterprise data sources, APIs, and cloud services, ensuring robust connectivity and data consistency across systems.
• Administer and Monitor KNIME Environments: Oversee the performance, security, and availability of KNIME platforms, implementing best practices for monitoring, troubleshooting, and incident resolution.
• Drive Continuous Improvement: Conduct workflow regression testing, validate post-upgrade changes, and perform performance optimizations to enhance reliability and reduce operational bottlenecks.
• Collaborate Across Teams: Partner with data scientists, engineers, and business stakeholders to align technical solutions with strategic objectives, ensuring clear communication and knowledge transfer.
• Ensure Compliance and Documentation: Maintain comprehensive technical documentation and adhere to governance standards, supporting controlled change, release, and deployment activities.
• Troubleshoot and Resolve Complex Issues: Perform root-cause analysis on technical challenges, implementing proactive solutions to minimize downtime and enhance system resilience.

Why Join Us?

This is more than a job—it’s an opportunity to shape the future of data analytics within a forward-thinking organization. By joining our team as a **KNIME Specialist**, you’ll work alongside industry leaders, leverage advanced tools, and make a tangible difference in how data is transformed into strategic value. If you’re eager to combine your technical expertise with a collaborative spirit, we’d love to hear from you.

Qualifications

We are seeking a detail-oriented and innovative professional with a proven track record in KNIME development and administration. Ideal candidates will possess:

• Education: A Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field, with a strong emphasis on data engineering or analytics.
• Technical Expertise: Three or more years of hands-on experience with KNIME, including development, administration, and troubleshooting in enterprise environments.
• ETL and Data Workflow Mastery: Deep understanding of ETL processes, data quality frameworks, and programming concepts (e.g., Python, R, or scripting) to enhance workflow automation.
• System Integration Skills: Proven experience integrating KNIME with databases, cloud platforms, and enterprise services, ensuring seamless data flow and interoperability.
• Problem-Solving Mindset: Ability to diagnose and resolve complex technical issues, perform root-cause analysis, and implement scalable solutions.
• Enterprise Environment Experience: Familiarity with production-grade systems, managed services, and controlled deployment methodologies, including upgrade and release management.
• Collaborative Leadership: Strong interpersonal skills to facilitate knowledge transfer, mentor junior team members, and align technical solutions with business goals.

If you’re ready to elevate your career in data analytics and contribute to impactful projects, we encourage you to apply and become part of a team that values innovation, precision, and excellence.