Found Description
Key Responsibilities
Data Engineering & Integration
- Design, build, and optimize ETL/ELT pipelines using Apache Spark, PySpark, Databricks, Azure Synapse , or equivalent platforms.
- Develop scalable batch and real-time data processing solutions.
- Integrate data from Core Banking, Payments, Treasury, Trade Finance, CRM, Compliance, and Risk systems.
- Develop and maintain enterprise data models including 3NF, Dimensional Modeling, and Data Vault 2.0 .
Streaming & Modern Data Platforms
- Build and operationalize real-time streaming pipelines using Kafka, Confluent, or Azure Event Hubs .
- Support data platform modernization initiatives, including migration from legacy platforms (e.g., Teradata, DB2) to cloud-native environments such as Snowflake, Databricks, or Azure Synapse .
- Implement scalable cloud-based data lake and data warehouse architectures. ...