Mid Data Engineer
Core
Design, develop, and optimize batch and real-time data pipelines for banking sector projects.
Role type
Mid-level Data Engineer
Builds
Scalable data integration solutions and analytical pipelines
Domain
Banking / Data Engineering
Deliverable
production ML models | product features
Required skills
Azure Data Factory, Azure Databricks, Oracle PL/SQL, SQL, ETL, Data Warehouse, Data Lake, Linux/Unix, Shell scripting
Preferred skills
CRM implementation, modern data architectures, Azure analytics platforms, Microsoft Azure Data Engineering certifications, Databricks certifications
Technologies
Azure, Oracle, Linux
Responsibilities
Design and optimize batch and real-time data pipelines; Implement best practices for data integrity and confidentiality; Apply validation and testing procedures on data flows; Optimize queries and integration processes for performance; Identify project risks and propose mitigation actions; Participate in solution design and prioritization sessions; Propose improvements based on data analysis; Promote data engineering best practices; Collaborate with multidisciplinary teams
Seniority
Mid-level, hands-on IC