Python Developer

Overview

The Senior Data Developer will be a key player in modernizing the client's financial projection system, transitioning from outdated Excel-based models to a scalable architecture using the Azure Data Ecosystem and Python. This role involves technical leadership, optimizing solution architecture, and ensuring the successful delivery of development initiatives.

Roles & Responsibilities

1. Lead the development of the FP-ALMS project, translating existing VB code into Python and expanding functionalities as required.
2. Act as the technical product owner, overseeing the end-to-end development process and coordinating with ITD on release planning and deployment.
3. Manage development backlogs, clarify requirements, and ensure alignment between business users and technical teams.
4. Contribute to the design and refinement of robust and scalable solution architecture.
5. Develop, test, and deliver front-end and back-end components using modern frameworks and technologies.
6. Implement APIs and integrate with third-party services as required, ensuring code quality through testing and reviews.
7. Implement security best practices and ensure compliance with relevant regulations.
8. Build data pipelines and Databricks workflows to populate the Data Mart according to the approved data model.
9. Utilize Azure Data Factory, Azure Data Lake, Databricks, and other Azure tools to design and implement end-to-end data solutions.
10. Participate in the full project lifecycle and complete required project artifacts in accordance with established methodologies.

Required Qualifications

1. Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree is advantageous.
2. At least 10 years of professional experience as a developer or data engineer, with a strong emphasis on cloud-native design and architecture.
3. Strong hands-on experience with Python and multiple programming languages.
4. Experience with Azure DevOps, Visual Basic, Macro, and SQL programming languages.
5. Experience with Azure Data Ecosystem tools such as Azure Data Factory, Azure Data Lake, Databricks, Azure Blob Storage, and Azure SQL Databases.

Preferred Qualifications

1. Experience in setting up DataMarts.
2. Experience with PowerBI and/or Tableau.
3. Experience working with ITIL and/or Scrum/Agile frameworks.
4. Experience in developing infrastructure and deployment automation scripts for Azure environments.
5. Strong communication skills in both spoken and written English.