Lead Expert Data & AI Engineer - Manufacturing
dsm-firmenich (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 16–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, implement, and maintain efficient and robust data pipelines for ingestion, transformation, and storage in the Manufacturing/Sustainability domain.
- Lead team management, project oversight, and stakeholder engagement ensuring seamless data integration and transformation.
- Develop, troubleshoot, and upgrade pipelines while implementing data quality testing and validation to ensure data integrity and reliability.
Minimum Requirements
- 5 years of experience in creating and maintaining data pipelines.
- Expertise in dbt, SQL, Python, Spark (PySpark), Git, Azure DevOps, Databricks, and cloud engineering (AWS, Azure); deploying CI/CD pipelines is mandatory.
- Work Experience Required: 5 years in data pipeline development and maintenance.
- Location: Hyderabad.
Ideal Candidate Profile
- Experienced in leading teams and managing projects within data engineering focused on Manufacturing or Sustainability domains.
- Strong technical proficiency combined with ability to collaborate closely with data scientists, modelers, and SMEs for integrated data solutions.
- Demonstrates hands-on expertise in deployment development, automation pipelines, and modern development/testing best practices.