DataEngineer

We are looking for a highly skilled Data Engineer with strong expertise in real-time streaming technologies and enterprise data engineering to join a leading digital transformation initiative within the banking domain. The ideal candidate should have hands-on experience in designing scalable data platforms, enterprise data warehousing, streaming pipelines, and modern data architectures using technologies such as Apache Flink, Kafka, and Java. This role will be responsible for building and managing enterprise-grade data ecosystems that support real-time analytics, regulatory reporting, business intelligence, and digital banking products. **Requirements** ### Enterprise Data Engineering & Modeling * Design, develop, and manage Enterprise Data Warehouse (EDW) models including: * Conceptual * Logical * Physical * Virtual data models * Build scalable and optimized data models for enterprise analytics and reporting. * Design and implement: * Raw Data Vault * Data Lake * Data Warehouse * Data Marts * Define standards and best practices for data modeling methodologies and design patterns. ### Real-Time Data Streaming * Design and develop real-time streaming pipelines using: * Apache Kafka * Apache Flink * Java * Build low-latency, high-throughput streaming architectures for banking and financial systems. * Handle real-time ingestion, transformation, enrichment, and processing of large-scale datasets. ### Data Architecture & Governance * Recommend and implement suitable data storage technologies including: * RDBMS * NoSQL * Big Data platforms * Document Databases * Define metadata management, data lineage, business glossary, ownership, and derivation logic. * Drive data quality, profiling, governance, and master data management initiatives. * Establish standards for: * Naming conventions * Data definitions * Documentation * Change management ### Stakeholder & Delivery Management * Collaborate with business, analytics, and engineering teams to deliver scalable data solutions.