Daimler Truck AG

Data Engineer, Range Management

Daimler Truck AG

full-time

Posted on:

Location Type: Hybrid

Location: Bengaluru • India

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Tech Stack

AzureCloudETLNumpyPandasPythonRustSQLTableau

About the role

  • 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

Requirements

  • Minimum BE / BTech in Electrical/ Electronics/ Computer Science/ related disciplines
  • 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
  • Azure DevOps: Experience with Azure Web App deployment and CI/CD pipelines (Good-to-Have)
  • Rust Programming: Knowledge of Rust programming language is a plus (Good-to-Have)
  • Physics & Engineering Analytics: Experience with physics-based computational modeling including force dynamics, power calculations, and energy analysis (Good-to-Have)
  • Automotive Domain Knowledge: Understanding of conventional Internal Combustion Engine (ICE) systems and electric vehicle technologies (Good-to-Have)
  • Experience with cloud platforms (preferably Azure) (Good-to-Have)
  • Knowledge of SQL and database management (Good-to-Have)
  • Familiarity with machine learning concepts (Good-to-Have)
  • Experience with other data visualization tools (Tableau, Power BI, etc.) (Good-to-Have)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonETLdata analysisdata cleaningdata transformationdata visualizationpandasnumpySQLmachine learning
Soft Skills
collaborationcommunicationproblem-solvingattention to detailanalytical thinking
Certifications
BEBTech