:

- Design, develop, and maintain data pipelines and ETL workflows using Databricks, Spark, and ADF.

- Implement data lakehouse architecture and optimize data storage and retrieval for performance and cost efficiency.

- Write effective, reusable, and scalable Python code for data processing and automation tasks.

- Orchestrate complex workflows using Azure Data Factory and integrate with other Azure services.

- Develop and maintain Power BI dashboards and reports, ensuring accurate and timely insights for stakeholders.

- Ensure data quality, security, and governance across all data solutions.

- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data products.

- Monitor and troubleshoot data pipelines, ensuring high availability and reliability.

Stay updated on emerging technologies and best practices in cloud data engineering.

- Experience with data lakehouse architecture, Delta Lake, and data modeling.

Knowledge of CI/CD pipelines, DevOps practices, and version control (Git).

📌 Big Data Developer (Chennai)
🏢 NCR Voyix
📍 Chennai