dsm-firmenich
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Hyderabad · On-site · 6-9 Yrs · Aug 19
Consumer Product Manufacturing · 10000+ Employees · Heerlen, Netherlands
At dsm-firmenich, we go beyond to create what's next. We reinvent, reimagine and recombine the vital ingredients of everyday life. You’ll find us in your day before you’ve even had coffee. In your personalized morning supplements, tailored to your needs. In that plant-based burger that actually tastes like something you'd crave. In the scent that lifts your mood without you even realizing it. If it helps you feel good, live well, or make better choices – we’re probably behind it. From bold breakthroughs to everyday essentials, we mix cutting-edge science with creative thinking to make things that nourish, delight, and improve lives. Our solutions are built on natural and renewable ingredients, powered by 150+ years of R&D, and designed to do more than just tick a box – they’re made to move the needle. We’re a Swiss-Dutch company, listed on Euronext Amsterdam, with many curious, committed people across almost 60 countries. At dsm-firmenich, we go beyond to create what’s next – for people, for progress, and for the planet.
What employees say
+ Flexi culture .Family driven business
− Internal politics no clear career path
More reviews on the company profile.
Interview experience · Specialist
There will be three rounds. Technical 1 Basic technical round based on profile Technical 2 Little depth about subject and job profile HR After completion, there will be issuance of offer letter
Average difficulty · Mumbai · 18 reports
More interview insightsJob description
Overview
Join us as a Lead Data Engineer / Associate Manager to build and scale modern data platforms that power business and scientific innovation. You'll lead data engineering initiatives, mentor teams, and deliver robust data pipelines using cutting-edge cloud and AI technologies.
Responsibilities
- Lead the design and implementation of scalable data pipelines for data ingestion, transformation, and storage.
- Provide technical guidance, evaluate project feasibility, and drive engineering best practices across initiatives.
- Develop high-quality, modular data solutions using modern data engineering tools and frameworks.
- Manage data integration and ETL processes from multiple source systems to enterprise platforms.
- Ensure data quality, reliability, and performance through automated testing, monitoring, and continuous improvement.
- Collaborate with data scientists, modelers, BI developers, stewards, and business stakeholders to deliver impactful outcomes.
Qualifications
- 6-8 years of experience building and maintaining enterprise-scale data pipelines and data platforms.
- Strong expertise in SQL, Python, PySpark, dbt, Databricks, Git, and Azure DevOps.
- Hands-on experience with cloud platforms (Azure or AWS), CI/CD implementation, and infrastructure-as-code practices.
- Proven ability to deliver scalable, reliable, and well-documented solutions with strong testing and automation practices.
- Excellent problem-solving, stakeholder management, and cross-functional collaboration skills.
Nice to have
- Demonstrated leadership experience in team management, project delivery, and driving technical excellence.
- Exposure to scientific datasets, FAIR principles, or data governance.
Benefits
- Opportunity to lead global finance operations at scale
- Exposure to senior leadership and strategic decision-making
- A culture focused on continuous improvement and innovation
- Career growth in a transformation-driven environment
- Collaborative and inclusive global work environment
- Access to modern ERP systems and digital finance tools
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