Key Responsibilities:
- Develop and manage data pipelines using Azure Data Factory and Databricks, transforming and enriching data sets.
- Build and optimize Star and Snowflake schemas for business requirements in Snowflake DB.
- Create and maintain CTEs, Stored Procedures, and tasks using Snowflake for data automation.
- Implement API Integrations, handle data loading/unloading, and automate live data ingestion.
- Write and optimize complex SQL queries for performance.
- Develop Python, Scala, and PySpark scripts to manage data transformations.
- Manage data storage in various formats, including JSON and Parquet, on cloud platforms.
- Deploy data solutions using Azure DevOps CI/CD pipelines, and ensure integration with source repositories.
- Apply best practices for data warehousing, modeling, and optimization.
- Perform monitoring and ensure the productive operation of data solutions.

Required Skills:
- Strong expertise in SQL programming, ETL processes, and Snowflake.
- Knowledge of the Webfocus platform, with an understanding of report procedures (FEX) and dependencies.
- Familiarity with Agile methodologies.
- Excellent problem-solving, communication, and team management skills.

📌 Data Engineer with Snowflake (Bengaluru)
🏢 Neudesic Technologies Private
📍 Bengaluru