Senior Data Developer (Python / Azure)
About the Role
Our client, a multilateral financial institution, is modernizing its long-term, bank-wide financial projection system by replacing legacy Excel, VBA, and Oracle-based models with a scalable architecture built on the Azure Data Ecosystem and Python. As Senior Data Developer, you will design and implement projection rules within the platform's DataMart and dataflows, provide technical leadership to other data developers, and help shape a robust, scalable solution architecture.
What You'll Do
- Design and implement projection rules within the DataMart and dataflows using Python.
- Translate existing Visual Basic code into Python and extend it with new functionalities.
- Build end-to-end data solutions using Azure Data Factory, Azure Data Lake, Databricks, Azure Blob Storage, Azure SQL Databases, and Power BI.
- Build data pipelines and Databricks workflows that populate the DataMart per the approved data model.
- Extract and integrate data from online and internal sources through automated ingestion methods.
- Provide technical leadership to fellow data developers and ensure timely delivery of development initiatives.
- Ensure compliance with software engineering standards and data governance practices.
What You'll Bring
- Bachelor's degree in Computer Science, Information Systems, Information Technology, or Accounting.
- At least 5 years of experience as a developer and/or data engineer, preferably in banking or financial services.
- Extensive hands-on Python experience; exposure to Java, C#, or similar enterprise technologies is a plus.
- Experience with Visual Basic and SQL.
- Hands-on experience with the Azure Data Ecosystem (Data Factory, Data Lake, Databricks, Blob Storage, Azure SQL) and Azure DevOps. Azure certifications such as AZ-900 and/or DP-900 and above.
- Nice to have: DataMart setup, Power BI/Tableau, ITIL or Scrum/Agile, and Azure infrastructure automation experience.
Details
- Location: Ortigas Center, Mandaluyong City
- Duration: Two (2) years
- Work Setup: Onsite 5 to 15 days a month
- Shift: 8:00 AM to 5:00 PM