Job description

Donaldson is committed to solving the world’s most complex filtration challenges. Employing innovation and breakthrough solutions, we are advancing filtration for a cleaner world. We look for the best people to help us succeed, offering opportunities to learn, effect change, and make meaningful contributions at work and in our communities. This is a place where you can make a world of difference.

Follow Us on LinkedIn: https://www.linkedin.com/company/donaldson/
  • Lead, collaborate and support global data engineering, data analytics projects with global team members & customers in North America, EMEA, and APAC.
  • Develop and transfer data engineering and machine learning tools internal or external customers.
  • Lead architectures design, data source acquisition and analysis, data extraction, transformation etc.
  • Convert the business questions into data engineering projects, prepare data for modeling, conduct feature engineering and pattern analysis etc.
  • Working in Azure DevOps/Agile Scrum based execution methodologies.
  • Develop monitoring technique for data quality and model performance; Manage the life cycle of the project deliverables through updated release.
  • Design and develop data ingestion pipelines in cloud frameworks.
  • Knowledge of Conceptual, Logical and Physical data models required for Data Warehousing.
  • Creating and maintaining Data Projects and deployments of the same.
  • Support our web-based software solutions/applications as required to serve various business productivity improvements.
  • Deliver data visualization and interactive dashboards to internal/external customers.
  • Develop algorithms on data sets; translate the algorithm outcome to insight, deploy the solutions.
  • Adopt and utilize standard business processes to drive project execution on time, on budget and meeting/exceeding expectations.

Education Qualification:
  • Minimum Bachelor’s degree in STEM fields (Computer Science, Information Technology, Mathematics, Engineering, Physics, Computer applications or related quantitative fields),
  • Advanced degree in these fields is preferred

Technical Competence & Skills:
  • Practical understanding of statistical/mathematical modeling techniques for AI/ML algorithms
  • Experience working on end-to-end development and deployment of analytics solutions including data transformation (ELT) to data visualization
  • Strong programming/coding skills using Python, Java, SQL, Spark,
  • Experience with cloud platforms such as Azure, AWS is preferred

Leadership Competence:
  • Strong communication skills- ability to lead the technical and strategic discussions, both verbal and written, with global counterparts and leadership teams.
  • Self-motivated- proactive in identifying the risks and issues in projects and taking lead in solving the problems quickly.
  • Collaboration skills- drives collaborations with global teams while working on projects and develops trusted long-term professional relationships,
  • Learning Agility- willing to continuously learn new products and technology.

Relevant Experience:
  • 3-6 years of relevant work experience in building data driven models and driving insights,
  • Knowledge in Internet of Things (IOT), Predictive maintenance, Sensor solutions and applications, Computer Vision, Natural Language Processing

Others (% of travel, language, etc.):
  • 30%,
  • English & Hindi

Come make a World of Difference!

Employment opportunities for positions in the United States may require use of information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.

Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law.

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