Description

You will build and manage scalable data pipelines for data analysis and reporting.

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 experience managing structured and unstructured data.
• Expertise in Azure Data Factory (ADF).
• Hands-on experience with Snowflake.
• Proficiency in Python/PySpark and PySpark.
• Strong command of SQL for data transformation and modeling.
• Experience with Databricks for data transformation.
• Skill in parsing and flattening semi-structured data (XML, JSON).
• Experience with cloud-based ETL processes.
• Familiarity with Agile development environments.

Key Skills

Education

Any Graduate