1 month ago
Sumaré, BrazilSenior
Responsibilities
- Provide technical leadership for collecting and integrating business-critical product development data.
- Build and modernize data pipelines and data foundations across enterprise systems, APIs, databases, and cloud platforms.
- Define, develop, and deploy data solutions aligned with enterprise standards and strategies.
- Support analytics, AI, and machine learning initiatives through structured data preparation and pipeline development.
- Apply data and analytical techniques to improve product development processes and enable business growth.
- Collaborate with cross-functional and cross-divisional teams to translate business needs into technical solutions.
- Lead intellectual property creation and protection for innovative solutions.
- Contribute to data modeling, ETL/ELT, data quality, data governance, and enterprise data integration.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field.
- Experience in data engineering, system integration, data architecture, or related technical roles.
- Experience building data pipelines with technologies such as SQL, Python, Spark, Databricks, Azure Data Factory, AWS Glue, Snowflake, or similar tools.
- Experience integrating data across enterprise systems, APIs, databases, and cloud platforms.
- Strong understanding of data modeling, ETL/ELT processes, data quality, and data governance principles.
- Experience with Microsoft Azure, AWS, or Google Cloud.
- Experience supporting analytics, AI, or machine learning initiatives through structured data preparation and pipeline development.
- Ability to collaborate with cross-functional teams and translate business needs into technical solutions.
- Advanced English proficiency.
- Preferred experience in industrial, manufacturing, chemical, materials science, engineering, or product development environments.
- Preferred familiarity with PLM, LIMS, MES, ERP, CRM, QMS, or engineering data platforms.
- Preferred knowledge of AI/ML data requirements, feature engineering, vector databases, or knowledge graph concepts.
- Preferred experience with master data management, metadata management, and data cataloging tools.
- Preferred understanding of product development lifecycle processes, stage-gate models, experimentation, testing, and commercialization workflows.
- Strong communication skills with technical and non-technical stakeholders.
Benefits
- On-site work model requiring at least four days per week at the 3M plant in Sumaré.
- Travel may include up to 10% domestic or international travel.
- 3M offers programs supporting physical and financial well-being, along with competitive compensation and benefits.
Tech Stack
Categories
Data Engineering
About 3M
3M makes materials, components, and consumer goods used in manufacturing, healthcare, electronics, transportation, and home/office settings. Its portfolio spans adhesives and tapes (e.g., Scotch and Post-it brands), abrasives, filtration, personal protective equipment, and specialty materials sold to businesses and consumers through distributors and retail channels. Founded in 1902 and headquartered in St. Paul, Minnesota, 3M is a public company listed on the NYSE with global R&D and manufacturing operations.