
Data Engineer/Data Analyst who is responsible for designing, developing, and maintaining data pipelines, performing comprehensive data analysis, and creating insightful visualizations to support predictive range management activities.
Key Responsibilities
· Design and implement robust data pipelines using Python and Databricks platform
· Perform data extraction, transformation, and loading (ETL) operations on large datasets
· Conduct thorough data analysis, cleaning, and transformation to ensure data quality and integrity
· Create compelling data visualizations and reports to communicate insights to stakeholders
· Collaborate with cross-functional teams using Git for version control and code collaboration
· Develop and maintain scalable data processing solutions using pandas and numpy libraries
· Optimize data workflows and improve processing efficiency
· Document data processes, methodologies, and findings
Required Skills & Qualifications
Must-Have Skills:
· Strong Python Programming: Proficiency in Python with hands-on experience in data-related projects
· Databricks Platform: Experience working with Databricks for big data processing and analytics
· Version Control: Solid understanding and practical experience with Git for code management
· Data Processing: Expertise in data analysis, transformation, and cleaning techniques
· Data Visualization: Ability to create meaningful visualizations and dashboards
· Python Libraries: Strong proficiency in pandas and numpy for data manipulation and analysis
Good-to-Have Skills:
· Azure DevOps: Experience with Azure Web App deployment and CI/CD pipelines
· Rust Programming: Knowledge of Rust programming language is a plus
· Physics & Engineering Analytics: Experience with physics-based computational modeling including force dynamics, power calculations, and energy analysis
· Automotive Domain Knowledge: Understanding of conventional Internal Combustion Engine (ICE) systems and electric vehicle technologies
· Experience with cloud platforms (preferably Azure)
· Knowledge of SQL and database management
· Familiarity with machine learning concepts
· Experience with other data visualization tools (Tableau, Power BI, etc.)
• Minimum BE / BTech in Electrical/ Electronics/ Computer Science/ related disciplines

Daimler Truck North America, a Daimler Truck AG company, is the largest heavy-duty truck manufacturer in North America and a leading producer of medium-duty trucks and specialized commercial vehicles.
Headquartered in Portland, Oregon, Daimler Truck North America manufactures, sells and services several renowned commercial vehicle brands including Freightliner Trucks, Western Star Trucks, Thomas Built Buses, and Freightliner Custom Chassis. Through the company’s affiliates, Daimler Truck North America is also a leading provider of heavy-and medium-duty diesel engines and other components. The company’s strategic partners in the North American commercial vehicles market include Daimler Truck Financial, TravelCenters of America and Petro Truck Centers.