Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL workflows.
- Build and optimize data integration processes using tools such as SSIS and Apache Airflow.
- Develop and maintain data workflows using Azure Data Factory (ADF).
- Write optimized and complex SQL queries for data extraction, transformation, and analysis.
- Use Python for data processing, automation, and pipeline development.
- Design and maintain data warehouse solutions and data models.
- Develop productive data models to support BI, reporting, and analytics requirements.
- Integrate data pipelines with Power BI and other business intelligence platforms.
- Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance.
- Automate repetitive data engineering processes and improve overall pipeline efficiency.
- Work with cloud-based data infrastructure across Microsoft Azure and/or AWS.
- Ensure data quality, consistency, security, and availability across different systems.
- Collaborate with data analysts, BI developers, software engineers, and business stakeholders.

📌 Data Engineer (Gurugram)
🏢 Tigi HR
📍 Gurugram