Senior Data Engineer
Summary
Design and build data pipelines, warehouses, and predictive analytics models for supply chain data using Python, Java, SQL, Spark, Hadoop, and Azure/AWS cloud platforms at a Life Sciences/Healthcare consultancy.
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Responsibilities:
โข Design and implement data pipelines for supply chain data (e.g., inventory, shipping, procurement).
โข Develop and maintain data warehouses and data lakes.
โข Ensure data quality, integrity, and security.
โข Collaborate with supply chain stakeholders to identify analytics requirements.
โข Develop data models and algorithms for predictive analytics (e.g., demand forecasting,
supply chain optimization).
โข Implement data visualization tools (e.g., Tableau, Power BI).
โข Integrate data from various sources (e.g., ERP, PLMs, other data sources).
โข Develop APIs for data exchange.
โข Work with cross-functional teams (e.g., supply chain, logistics, IT).
โข Communicate technical concepts to non-technical stakeholders.
โข Experience with machine learning algorithms & concepts
โข Knowledge of data governance and compliance.
โข Strong problem-solving and analytical skills.
โข Excellent communication and collaboration skills.
โข Ability to work in a fast-paced environment.
Required Skills:
โข Bachelor's degree in Computer Science, Informa1on Technology, or related field.
โข 6-8 years of experience in data engineering.
โข Proficiency in: Programming languages - Python, Java, SQL, Spark SQL.
โข Data technologies - Hadoop, PySpark, NoSQL databases.
โข Data visualiza1on tools - Qliksense, Tableau, Power BI
โข Cloud pla(orms - Azure Data Factory, Azure Databricks, AWS
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NovintiX is a fast-growing engineering and digital transformation consultancy serving leading Life Sciences, MedTech, and Healthcare clients across the US, Ireland, and Europe. We specialize in delivering high-impact digital programs, engineering services, and talent solutions that accelerate innovation, operational efficiency, and compliance.