NovintiX
Website:
novintix.com
Job details:
Company Description
NovintiX is a leader in engineering services, dedicated to innovation and excellence across diverse industries such as Medical Devices, Aerospace, Automotive, Consumer Electronics, and more. With a commitment to creating transformative solutions, NovintiX specializes in Product Engineering, Digital Solutions, Supply Chain & Manufacturing, and Regulatory Compliance. By empowering both clients and employees, NovintiX fosters an environment of growth, learning, and innovation. The company is driven by a mission to inspire change and shape the future through cutting-edge technologies and strategies. Every project reflects NovintiX’s dedication to delivering unparalleled solutions that make a lasting impact.
Responsbilities:
• Design and implement data pipelines for supply chain data (e.g., inventory, shipping, procurement).
• Develop and maintain data warehouses and data lakes.
• Ensure data quality, integrity, and security.
• Collaborate with supply chain stakeholders to identify analytics requirements.
• Develop data models and algorithms for predictive analytics (e.g., demand forecasting, supply chain optimization).
• Implement data visualization tools (e.g., Tableau, Power BI).
• Integrate data from various sources (e.g., ERP, PLMs, other data sources).
• Develop APIs for data exchange.
• Work with cross-functional teams (e.g., supply chain, logistics, IT).
• Communicate technical concepts to non-technical stakeholders.
• Experience with machine learning algorithms & concepts
• Knowledge of data governance and compliance.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment.
Technical Skills:
• Bachelor's degree in Computer Science, Information Technology, or related field.
• 6-8 years of experience in data engineering.
• Proficiency in: Programming languages - Python, Java, SQL, Spark SQL.
• Data technologies - Hadoop, PySpark, NoSQL databases.
• Data visualization tools - Qliksense, Tableau, Power BI
• Cloud platforms - Azure Data Factory, Azure Databricks, AWS
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