Job Description

Responsibilities :

Build and optimize data ingestion and transformation workflows in Snowflake. Develop scalable solutions using PySpark and SQL. Implement data quality checks, monitoring, and performance tuning. Work with structured and unstructured data from multiple sources. Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions. Troubleshoot production issues and provide ongoing support for data platforms. Ensure adherence to data governance, security, and best practices.

Additional Responsibilities:

Strong analytical and problem-solving skills. Experience working in Agile environments. Excellent communication and stakeholder management skills. Ability to work independently and deliver high-quality solutions.

Technical and Professional Requirements:

Strong experience in Azure Data Factory (ADF). Hands-on experience with Azure Databricks and PySpark. Strong Snowflake development experience. Advanced SQL skills. Experience with ADLS and Azure ecosystem. Understanding of data warehousing concepts and dimensional modeling.