The role involves developing, maintaining, and evolving data pipelines using Python and Databricks within a major international bank's ecosystem
Job Summary
The role involves developing, maintaining, and evolving data pipelines using Python and Databricks within a major international bank's ecosystem.
The company offers a hybrid work model with 2 days remote and 3 days onsite, along with comprehensive benefits including flexible vacation, health plans, and professional development platforms.
The team culture emphasizes innovation, technology passion, and collaboration to support business growth and customer experience for over 60 million clients.
Matching Summary
The role involves developing, maintaining, and evolving data pipelines using Python and Databricks within a major international bank's ecosystem.
Skills & Requirements
Must-have
Python for data processing
Apache Spark and Databricks
Basic SQL for data queries
ETL/ELT and data pipelines
Microsoft Azure cloud environment
Data architecture knowledge
Git version control
Nice-to-have
Experience with Azure Data Factory
Knowledge of Azure Synapse and ADLS
Familiarity with orchestration tools
Data modeling skills
Data quality and monitoring experience
Agile work environment
Clear communication and teamwork
Key Requirements
Practical knowledge of Python
Basic SQL skills
Familiarity with Apache Spark
Experience with Microsoft Azure
Understanding of data lake and warehouse architecture