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 development. Knowledge in administrative t

📌 Data Engineer (Pune)
🏢 Liebherr Group
📍 Pune