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.
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.
Collaborate with cross-functional teams to design, implement, and maintain web applications using the newly structured data
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.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/.
Required Skills & Experience
- 3+ years of hands-on experience with Data Engineering with experience working with unstructured data from multiple sources
- 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
Nice to Have Skills & Experience
- 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
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.