DATA ENGINEER

REMOTE ROLE: DATA ENGINEER WITH INTEGRATION EXPEREINCE
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If you have below Experience, please send us your profiles to

Job Details
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Start Date: ASAP
Duration: 1 year + Extension
Location: Fully Remote
Timings: CET timing
Experience Level: 10+ years

1. The consultant will be responsible for integrating laboratory instruments, enterprise applications, and scientific data sources into our R&D data management platform while ensuring high data quality, reliability, and scalability. 
2. The role will also support the deployment and integration of scientific applications used by researchers and data scientists.

Skills Needed
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• Design and implement data cleaning, validation, and transformation workflows using Python, SQL, and REST APIs.
• Integrate experimental, master, and transactional data into the R&D data management platform.
• Develop reusable ETL/ELT pipelines and automation workflows to improve data consistency, reliability, and traceability.
• Support data migration, harmonization, and enrichment activities across multiple scientific and business systems.
• Design and implement integrations between laboratory instruments and the R&D data management platform.
• Integrate the R&D platform with enterprise applications such as ELN, LIMS, ERP, PLM, MDM, and document management systems.
• Design and implement automated data quality monitoring solutions for master data and ELN transactional data.
• Develop and deploy lightweight scientific web applications using Streamlit and Python to enable researchers to access analytical tools and workflows.
• Support the deployment of scientific and cheminformatics applications to AWS and other cloud environments, ensuring security, scalability, and operational stability.
• Integrate deployed applications with ELN, LIMS, and other R&D systems through APIs and standardized integration frameworks.