Data Engineer

1 week ago

Thāne, Maharashtra, India Envu Full time

We're Hiring

Data Engineer

At Envu, we partner with our customers to design world-class, forward-thinking innovations that protect and enhance the health of environments around the world. We offer dedicated services in: Professional Pest Management, Forestry, Ornamentals, Golf, Industrial Vegetation Management, Lawn & Landscape, Mosquito Management, and Range & Pasture.

Envu brings together a broad range of perspectives to look beyond chemistry and dare to explore new paths forward. Guided by our inclusive culture, we embrace change and flexibility, tackling our customers' toughest challenges proactively, passionately and with an entrepreneurial spirit.

We pursue our ambitions collaboratively because we know that a unified and empowered team is an unstoppable force, allowing us to achieve our vision of healthy environments for everyone, everywhere. Join Us.

Envu is proud to be Great Place to Work Certified in the US, France, and India. (June 2025 - June 2026)

FUNCTION: Global Innovation

LOCATION: Thane, India

TYPE: Permanent

Role Seniority : Managerial

GET TO KNOW YOUR AREA:

  • We are seeking a Data Engineer with strong analytical and technical expertise to support our data-driven transformation. You will be responsible for building and maintaining data infrastructure and pipelines, enabling robust analytics and machine learning initiatives across multiple departments
  • This role requires hands-on experience with data engineering tools and platforms, a solid foundation in Python and SQL, and ideally, some domain knowledge in chemical processes or related industries. You will work closely with stakeholders in R&D and regulatory teams to enable data accessibility, insight generation, and technical innovation

YOUR MISSION WILL BE TO:

  • Assemble large, complex datasets that meet functional and non-functional business requirements
  • Design and implement internal process improvements, including infrastructure re-architecture for scalability, optimized data delivery, and automation of manual workflows
  • Build infrastructure for efficient data extraction, transformation, and loading (ETL) using AWS and SQL technologies
  • Develop and maintain automated data pipelines across sources like SQL Server, LIMS, Veeva, and unstructured text files
  • Create analytical tools and dashboards (e.g., Power BI reports, RAG systems) to drive key insights on operational efficiency and customer acquisition
  • Prototype solutions for innovation teams using integrated datasets, including ML and generative AI applications
  • Support stakeholders with data infrastructure needs and resolve data-related technical issues
  • Lead technical projects and coordinate with external vendors/ consultants to deliver robust data solutions
  • Act as a liaison between internal subject matter experts and technical partners to ensure effective knowledge

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