Reverse Engineer at Teller building APIs for connecting apps to users' financial accounts. Help crack mobile banking applications for seamless bank integrations.
About the role
- Data Engineer responsible for designing, developing, and maintaining data pipelines. Performing comprehensive data analysis and creating visualizations to support predictive range management activities.
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
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)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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