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Job Description: One of our clients is looking for a Data Engineer to join their Innovation Excellence framework. As a leader in science & innovation, the client seeks a motivated data engineer with minimum 3 years of hands-on experience in structuring R&D; data sources to drive excellence across our global sites and fuel Machine Learning & AI.

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 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

Qualifications & Experience:

- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- Approximately 3 years of progressive experience in data engineering within R&D;, energy, chemical, or similar sectors.
- Expertise in SQL databases, Excel and Python coding
- Proven track record in deploying and managing industrial data solutions, including databases, web applications in Microsoft Azure setting
- Experience with Blob Storage and Databricks.
- Web UI development skills and Power App, Power BI knowledge is a plus.

Compensation: 25 LPA - 30 LPA

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📌 Data Engineer (Nellore)
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