Job Openings Senior System Solutions Specialist - DENODO & KNIME Expert

About the job Senior System Solutions Specialist - DENODO & KNIME Expert

Looking for a Senior Specialist System Engineering to lead the design and development of data workflows using KNIME and virtual data models with Denodo, supporting advanced analytics and seamless data integration.

Key Responsibilities:

KNIME Workflow Development

    • Build and manage ETL workflows using KNIME for data extraction, transformation, and loading.
    • Create workflows for analytics, feature engineering, and ML data preparation.
    • Ensure data accuracy through quality checks and validation steps.
    • Develop user-friendly dashboards and data apps using KNIME Server.

Data Virtualization with Denodo

    • Design virtual data models and views on the Denodo platform.
    • Connect and integrate data from various sources like databases, APIs, and cloud storage.
    • Tune SQL/VQL queries for better performance and scalability.
    • Manage user access and enforce security policies in Denodo.

Cross-Functional Collaboration & Innovation

    • Work closely with analysts, developers, and business users to understand data needs.
    • Contribute across the full project lifecycle from planning to deployment and support.
    • Stay current with new features in KNIME, Denodo, and data engineering trends.
    • Support documentation and promote good data governance practices.

Required Skills:

  • Bachelor's/Masters in CS, IT, or related field with 3+ years of experience.
  • Proficiency in KNIME and Denodo platforms preferred.
  • Strong SQL knowledge and familiarity with Oracle, MSSQL, MongoDB.
  • Skilled in Python and JavaScript for application scripting.
  • Experience in Agile methodologies and system design.
  • Familiarity with OpenShift/Kubernetes for containerized deployment.
  • Excellent written and verbal English communication.
  • Background in semiconductor/electronic manufacturing is a plus.

Additional Info:

Hands-on expertise in both data integration and advanced analytics tools makes this a key role in enabling enterprise-wide data solutions and decision-making.