Data Engineer with Python
3 weeks ago
Project Description:
Our client, a top-tier global financial group, is in the process of Digital Transformation across their Americas Division, as they continue to modernize technology, focus on a data-driven approach, grow, and plan for the future.
Our technology stack contains Python and MS SQL, with processes running both on-prem and in Azure. Our main Python libraries include: Pandas, PySpark, and PyArrow.
We are looking to expand and build a Global team to help us build a new unified Data Warehouse to support the latest Banking Data needs.
Responsibilities:
- Hands-on development using Python and SQL
- Building a new Data Warehouse onboarded to Azure
- Support BAU activities
- Work with in-house application development teams responsible for payment processes, collateral, accounting, and regulatory reporting processes in the bank
- Continuous improvement of the development and release environment, tooling, and processes
Mandatory Skills Description:
- Minimum 7 years of hands-on development 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
Nice-to-Have Skills Description:
- Experience working in Agile/Scrum projects
- Experience working with a global team, good communication and interpersonal skills
- Good understanding of computer fundamentals - OOP concepts, basic data structures, algorithms, relational algebra, basic understanding of networking, cloud computing, etc.
Languages:
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
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