Lead Expert - Data & AI Engineer

DSM
Hyderabad
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 6-8 yearsSkills: ["Problem-solving","Stakeholder management","Cross-functional collaboration","Leadership","Technical guidance"]

Lead data engineering initiatives to design and scale modern data platforms that support business and scientific innovation. Own the architecture and delivery of scalable ingestion, transformation, and storage pipelines, ensuring data quality, reliability, and performance through testing, monitoring, and continuous improvement. Collaborate with data scientists, modelers, BI developers, and business stakeholders, while providing technical guidance and mentoring teams using cloud, AI, and modern data engineering tools.

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FursaFursa
DSM
DSM
1 day ago

Lead Expert - Data & AI Engineer

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Last checked: 1 hour agoStatus: Live

Job Summary

Lead data engineering initiatives to design and scale modern data platforms that support business and scientific innovation. Own the architecture and delivery of scalable ingestion, transformation, and storage pipelines, ensuring data quality, reliability, and performance through testing, monitoring, and continuous improvement. Collaborate with data scientists, modelers, BI developers, and business stakeholders, while providing technical guidance and mentoring teams using cloud, AI, and modern data engineering tools.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Lead the design and implementation of scalable data pipelines for data ingestion, transformation, and storage.
  • •Provide technical guidance, evaluate feasibility, and drive engineering best practices across initiatives.
  • •Develop 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.

Pay and Benefits

Perks:Learning Budget

Key Requirements

  • •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) plus CI/CD and infrastructure-as-code practices.
  • •Proven ability to deliver scalable, reliable, well-documented solutions with strong testing and automation.
  • •Demonstrated leadership experience in team management, project delivery, and driving technical excellence.
Experience:6-8 years
Skills:Problem-solvingStakeholder managementCross-functional collaborationLeadershipTechnical guidance
Tech Stack:SQLPythonPySparkDbtDatabricksGitAzure DevOpsAzureAWSCI/CDInfrastructure-as-codeETLData ingestionData transformationData storageAutomated testingMonitoring

Company Brief

DSM
DSM-Firmenich is a global leader in food ingredients, nutrition, fragrances and beauty solutions, formed by the merger of DSM and Firmenich to provide sustainable, science-driven products and services across food, health and personal care industries.
Industry: Chemical Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Geneva, Switzerland
Founded: 2023
WebsiteLinkedIn