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