Creating passion: your responsibilities

Roles & Responsibilities:
- Data Pipeline Development: Design, build, and maintain robust ETL/ELT processes to ensure smooth and reliable data flow across systems.
- Data Modeling & Architecture: Develop scalable, productive data models and architect storage solutions that support analytical and operational needs.
- Data Integration: Integrate diverse data sources—including APIs, databases, and cloud services—for seamless and automated data ingestion.
- Performance Optimization: Optimize database structures and fine-tune queries to maximize data processing performance and efficiency.
- Data Quality & Governance: Implement data validation, cleansing, and monitoring practices to uphold high standards of data accuracy, consistency, and reliability.
- Infrastructure Management: Manage and optimize data infrastructure, including data warehouses, data lakes, and cloud-based storage environments.
- Monitoring & Incident Management: Establish monitoring systems, logging,



and alert mechanisms to ensure system reliability and quickly address data-related issues.

Contributing your strengths: your qualifications

Qualification and Education Requirements:
- Bachelor’s or master’s degree in information technology or comparable.

Experience:
- More than 4 years of professional experience in the area of Data Engineering and Modelling

Preferred Skills / Special Skills:
- Bachelor's or Master's degree in information technology or comparable.
- More than 2-3 years of professional experience in the area of Data Engineering and Modeling.
- Extensive hands-on experience with Microsoft BI tools, including SSIS, SSAS, and SSRS in Visual Studio, as well as Power BI.
- Familiarity with advanced analytics using Microsoft Azure, Databricks, and the Power BI Service is a strong advantage.
- Proficient in SQL, MDX, and DAX; working knowledge of Python is a plus.
- Proficient in GitHub, including version control, CI/CD workflows, and collaborative develop

📌 YourLiebherrCareer: Data Engineer (Pune)
🏢 Liebherr
📍 Pune