REMOTE Data Engineer (R&D) INTL India (a5a02785)
Job
Insight Global
Remote
Full-Time
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Job Description
Job Description A global manufacturing company is seeking a strong Data Engineer to join their Innovation Excellence organization! This individual will work within a global team responsible for driving ongoing digital transformation initiatives focused around Machine Learning & AI that impact R D across global sites. This position sits remotely in India, is a year-long contract role with the possibility of extension and is an immediate need.
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Key Responsibilities:
- Lead the transformation of unstructured data sources into standard approved structured backends
- Design and maintain data pipelines (ETL/ELT) for batch and real-time processing. Implement data quality, validation, and monitoring systems.
- Optimize infrastructure for performance and cost-efficiency. Build and optimize data warehouses/lakes.
- Collaborate with Data Scientists and Data Analysts.
- Serve as a liaison with vendors, project managers, and R D scientists to develop and execute rollout strategies for smart laboratory operations, resolving data limitations as they arise.
- Identify siloed data sources and propose strategies to extract value through connectivity
- Develop and curate technical content for the Innovation Excellence digital network, facilitating knowledge sharing, training, and best practice dissemination across all DuPont locations.
- Support and develop data governance best practices for the multiple R D labs across the DuPont enterprise. . Ensure data security, and compliance.
- Guide the adoption of modern data platforms.
To learn more about how we collect, keep, and process your private information, please review
Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements- 5+ years of hands-on experience with Data Engineering with experience working with unstructured data from multiple sources
- Experience working with R D and/or LIMS data
- Strong experience working within an Azure environment
- deploying and managing industrial data solutions, including databases, web applications, etc.
- Expertise in SQL databases, Excel and Python coding
- Experience with Blob Storage and Databrick
- Very strong communication skills and previous experience with requirements gathering and interfacing with business stakeholders in a global environment
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
- Working experience within R D, energy, chemical, or similar sectors
- Web UI development skills and Power App, Power BI knowledge
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