Data Engineer

• Design, build, and maintain efficient, scalable, and reliable ETL/ELT data pipelines across banking systems.
• Write and optimize complex SQL queries for large-scale transactional and analytical data processing.
• Work with Spark (batch/streaming) and Hive for data ingestion, transformation, and aggregation.
• Collaborate with business analysts, data scientists, and stakeholders to understand data needs and deliver solutions.
• Ensure data quality, governance, and compliance with banking regulations.
• Monitor, troubleshoot, and enhance data workflows to meet performance and availability standards.
• Support migration and integration of data from traditional databases into modern big data platforms.

Requirements

• 5–8 years of experience as a Data Engineer or similar role in the banking/financial services domain.
• Strong expertise in SQL (query tuning, stored procedures, ...