Python Data Engineering Lead Position
2 weeks ago
We are looking for a highly skilled Python Data Engineer to join our team and contribute to building a unified Data Warehouse in Azure. This role offers an opportunity to work with a leading global financial group and develop a new Data Warehouse using Python and SQL.
About the JobIn this role, you will work on developing a new Data Warehouse, using Python and SQL, and collaborating with application development teams responsible for payment processes, collateral, accounting, and regulatory reporting. You will also support BAU activities and contribute to the expansion of our team.
- Develop a new Data Warehouse onboarded to Azure.
- Support BAU activities and collaborate with teams.
This role requires a strong understanding of ETL/ELT, DevOps lifecycle, and experience working with Azure cloud services, including Data Factory, Gen 2, Databases, Functions, etc.
RequirementsTo be successful in this role, you will need:
- A minimum of 7 years of hands-on development experience using Python.
- Experience in a large & complex application development environment, preferably in the financial services industry and on data-heavy applications and systems.
- Proven experience as an Azure Data Engineer or in a similar role.
- Familiarity with Azure cloud services, Azure Data Factory, Gen 2, Azure Databases, Functions, etc.
- Strong SQL skills with experience in any RDMS.
- Good understanding of ETL/ELT.
- Working experience in Databricks, SQL Auto loader will be a plus.
- Good understanding of DevOps lifecycle (git, Jenkins, etc.).
- Experience with Jira/Confluence.
- Good problem-solving skills.
This position offers:
- An opportunity to work with a leading global financial group.
- Challenging projects and opportunities for growth.
- A collaborative and dynamic work environment.
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