Expert Data & AI Engineer

DSM
Hyderabad
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Collaboration","Leadership","Growth mindset","Technical rigor"]

Design and maintain robust data pipelines and data integration/transformations while leading team and project initiatives. Own pipeline architecture for ingestion, transformation, and storage, develop modular data transformation code, and handle ETL when platform tables aren’t available. Ensure reliability through automated data quality testing, validation, maintenance, and troubleshooting. Collaborate with data modelers, engineers, BI developers, scientists, and SMEs to deliver high-impact, scalable data solutions.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
DSM
DSM
3 days ago

Expert Data & AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design and maintain robust data pipelines and data integration/transformations while leading team and project initiatives. Own pipeline architecture for ingestion, transformation, and storage, develop modular data transformation code, and handle ETL when platform tables aren’t available. Ensure reliability through automated data quality testing, validation, maintenance, and troubleshooting. Collaborate with data modelers, engineers, BI developers, scientists, and SMEs to deliver high-impact, scalable data solutions.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Provide technical recommendations and evaluate project feasibility and workloads.
  • •Design and implement pipeline architectures for data ingestion, transformation, and storage.
  • •Develop modular code for data transformation and integration following modern development practices.
  • •Perform data ingestion from source systems, including ETL when tables aren’t available on the data platform.
  • •Ensure data reliability through pipeline maintenance, troubleshooting, and automated data quality testing and validation.

Key Requirements

  • •Expert knowledge in dbt, SQL, Python, Spark (PySpark), Git, Azure DevOps, and Databricks.
  • •Cloud engineering expertise (AWS, Azure), with CI/CD pipelines; infrastructure-as-code is a plus.
  • •5 years of experience creating and maintaining data pipelines.
  • •Strong coding/testing/documentation practices for scalable, reliable data solutions with automated quality checks and monitoring.
  • •Experience with FAIR data principles, data governance, and scientific data standards.
Experience:Scientific datasetsCheminformaticsBioinformaticsData governance
Skills:Problem-solvingCollaborationLeadershipGrowth mindsetTechnical rigor
Tech Stack:DbtSQLPythonSpark (PySpark)GitAzure DevOpsDatabricksAWSAzureCI/CDETLInfrastructure-as-code

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