We are looking for a hands-on Leading Data Engineer to own critical ingestion and lakehouse workflows in a high-throughput, production-grade data platform. + ' ' + ·      5+ years experience in data engineering·      2+ years experience in production Spark Streaming·      Deep understanding of Iceberg internals, lakehouse patterns, and large-scale analytics·      Proven experience implementing SCDs in distributed systems·      Strong Python & SQL, comfortable reading JVM-level Spark behavior·      Experience running Spark on Kubernetes·      Operational mindset: monitoring, alerting, incident response·      Zero tolerance for fragile pipelines or undocumented logicNice to have:·   CDC systems (Debezium, Kafka-based ingestion)·   Performance tuning under cost and latency constraintsOn-prem or hybrid data platforms + ' ' + Opportunities for professional growth and developmentCompetitive salary and bonusesComprehensive insurance coverageSupportive work environmentVisa Premium salary cardCorporate discounts and eventsAdditional vacation daysDiscounted education and employee loansNew cozy studio office in Port Baku Tower 2Strong teamwork with Agile principles, regular team buildings and themed eventsMulticultural environment with foreign colleagues sharing their best experiences + ' ' + Design, build, and operate Spark Structured Streaming pipelines (event-driven, CDC, API-based)Implement and maintain Slowly Changing Dimensions (Type 1/2) at scaleOwn data modeling and table design using Apache Iceberg (partitioning, compaction, schema evolution)Ensure pipeline reliability, SLAs, and data correctness across batch and streaming workloadsDevelop and operate Airflow-orchestrated data workflowsCollaborate closely with Senior Data Engineers and DataOps on platform stability and performanceEnforce data access controls, governance, and secure data sharingKapital Bank iş mühiti, əlavə fürsətlər və digər vakansiyaları görüntüləmək üçün Kapital Bank Life səhifəsinə keçid edin.

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