Data Platform Engineer
Eurofins Scientific SE1 month ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Design, develop, maintain, and monitor data pipelines connecting laboratory, IT, and enterprise systems.
- Build and evolve data lake and lakehouse architectures and develop ETL/ELT processes using APIs and databases.
- Transform laboratory data into structured, reusable, analytics-ready datasets and scalable data models.
- Establish data-quality checks, monitoring, logging, error handling, and production-support mechanisms.
- Extract, transform, and analyze laboratory data while partnering with application specialists and laboratory teams.
- Automate Power BI data preparation, refresh processes, datasets, semantic models, and management reporting.
- Prepare datasets for ML and AI applications and support anomaly detection, prediction, laboratory performance analysis, LLM, RAG, and AI-agent use cases.
- Identify and implement API integrations, workflow automation, RPA, and AI-agent-based solutions to reduce manual work.
- Monitor and troubleshoot production data pipelines, integrations, and automated processes; investigate root causes and implement permanent fixes.
- Manage incidents, controlled changes, releases, technical documentation, and operational procedures in a regulated environment.
Requirements
- Bachelor's or master's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, Engineering, or a related field.
- 5–10 years of experience in data engineering, analytics engineering, integration engineering, or a closely related discipline.
- Strong SQL skills and practical experience with relational databases.
- Strong Python skills for data processing, automation, and integration.
- Experience designing and maintaining ETL/ELT pipelines, cloud data platforms, and data lake or lakehouse architectures.
- Experience with Power BI, including data preparation and data models.
- Experience with REST APIs, system integrations, Git, and modern software-development practices.
- Understanding of data quality, monitoring, logging, and production support.
- Ability to translate business and process problems into practical technical solutions.
- Experience with Azure data services or equivalent cloud platforms, Databricks, Microsoft Fabric, Azure Data Factory, or similar technologies is highly desirable.
- Experience with laboratory, scientific, manufacturing, healthcare, or pharmaceutical data and laboratory information systems is highly desirable.
- Experience with AI/ML projects, MLOps, LLMs, RAG, AI agents, AI APIs, Power Automate, RPA, or workflow automation is highly desirable.
- Knowledge of GMP, CSV, data-integrity principles, and regulated environments is highly desirable.
Benefits
- Hybrid work arrangement in Bangalore, India.
- Shift timing is 12:00 PM to 9:00 PM IST.
- Opportunity to work on digital laboratory transformation, automation, modern data platforms, and production AI/ML use cases.
About Eurofins Scientific SE
Eurofins Scientific SE provides laboratory-based analytical testing and contract research for food, environmental, pharmaceutical, cosmetic, and clinical diagnostics customers. Its fee-for-service model spans a global network of roughly 900 laboratories across 50+ countries, delivering methods for safety, identity, and regulatory compliance. Founded in 1987 in Nantes and headquartered in Luxembourg, it is publicly traded on Euronext Paris.