Description

You will build and maintain data processing capabilities for analytics platforms.

Responsibilities

• Analyze and organize raw data from diverse sources, including healthcare datasets.
• Design and implement ETL pipelines using Azure Data Factory.
• Develop and optimize SQL queries, stored procedures, and data models in Snowflake.
• Build scalable data systems and pipelines to support analytics and reporting.
• Migrate on-premise data workloads to cloud platforms, preferably Snowflake.

Required Skills

• 5+ years of relevant experience in data engineering.
• Proficiency with Snowflake for data modeling and querying.
• Experience building data pipelines using Azure Data Factory (ADF).
• Strong command of Python and PySpark for data transformation.
• Expertise in SQL for complex data manipulation.
• Experience parsing and flattening semi-structured data (XML, JSON).
• Familiarity with Databricks environment.

Key Skills

Education

Any Gradute