RESPONSIBILITIES:

- Design, Develop, and Maintain scalable ETL pipelines using Azure Data Factory, Databricks, and related services.
- Implement data ingestion, transformation, and storage solutions on Azure Cloud.
- Optimize data workflows for performance and cost efficiency.
- Write and maintain Python scripts for data processing, including advanced Regex-based parsing and validation.
- Collaborate with data scientists and analysts to ensure data availability and quality.
- Monitor and troubleshoot data pipelines, ensuring reliability and accuracy.
- Implement best practices for data security, governance, and compliance.

Required Skills & Qualifications:

- Bachelor's degree in computer science, Information Technology, or related field.
- Minimum 5+ years in Data Engineering roles.

Technical Skills:

- Solid experience with Azure Data Services (Data Factory, Data Lake, Synapse).
- Hands-on experience with Databricks for Big Data Processing and Analytics.
- Proficiency in Python, including advanced Regex for text processing.
- Knowledge of SQL and relational database concepts.
- Familiarity with CI/CD pipelines and version control (Git).

📌 Azure Data Engineer (Gurugram)
🏢 Azimuth GRC
📍 Gurugram