Responsibilities :

- Good experience with Python development.

- Utilize SQL to retrieve, manipulate cleanse and store data.

- PySpark experience desirable.

- Experience in defining, implementing, debugging, and optimizing data integration mappings and scripts from a variety of data sources.

- Perform the unit testing, system integration testing, regression testing and assist with user acceptance testing.

- Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of data.

- Work independently or as part of a team to deliver data warehouse projects.

- Adhere to established standards and best practices and provide input for improvement of those processes.

- Self-motivated team player who can work with minimal supervision and can adapt to a quickly changing environment.

- Maintain a high-volume data warehouse application.

- Ability to work on multiple tasks simultaneously, ability to switch between tasks and work in conflicting priorities.

Technical Skills & Competencies :

- Must have strong Python and PySpark development experience mandatory.

- Proficient in Azure Services/Architecture, should have heavily worked on Azure Databricks & Data Factory.

- Must have strong experience with Data ingestions and Data transformation.

- Must have strong SQL skills.

- Good communication and presentation skills required.