Data Engineer

About Novintix :

NovintiX is a fast-growing engineering and digital transformation consultancy serving top Life Sciences, MedTech, and Healthcare clients across the US, Ireland, and Europe. We specialise in delivering high-impact digital programs, engineering services, and talent solutions that accelerate innovation, efficiency, and compliance.

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

Skills Required
Power Bi, Data Visualization, Azure Databricks, Predictive Analytics, Qliksense, Data Governance, Pyspark, Azure Data Factory, Apis, Machine Learning Algorithms, Sql, data warehouses , data models, Spark SQL, Java, Tableau, Aws, Python, Hadoop