7 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, develop, and maintain data pipelines, ETL/ELT workflows, and data integration solutions.
- Build trusted data products including curated datasets, reusable data assets, semantic layers, and analytics-ready data models.
- Support the configuration, optimization, and operation of data lakes, data warehouses, and analytics platforms.
- Apply DevOps practices such as CI/CD, version control, automated testing, and deployment automation to data engineering solutions.
- Monitor data quality, pipeline performance, platform reliability, and production support processes.
- Collaborate with cross-functional stakeholders and contribute to 3M’s Environmental Health and Safety culture.
Requirements
- Bachelor’s degree or higher, completed and verified before starting.
- At least 5 years of experience in data engineering, data warehouse development, or analytics platform support.
- Experience with SQL, Python, ETL/ELT development, data modeling, and data quality practices.
- Databricks experience, including notebook development, data engineering workflows, or Lakehouse architecture, is preferred.
- Knowledge of SAP HANA and SAP ERP is helpful.
- Experience with data platforms and tools such as Snowflake, AWS, Power BI, or similar technologies.
- Strong communication, collaboration, stakeholder management, and cross-functional teamwork skills are helpful.
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.