Senior Data Core Engineer responsible for optimizing data architecture in fintech and collaborating with DevOps teams. Design, build, and improve data pipelines and monitoring solutions.
Responsibilities
Designing and optimizing the architecture of the Data Core platform for high scalability, availability, and performance.
Building and improving data pipelines, orchestration frameworks, and monitoring solutions to support real-time analytics and mission-critical workloads.
Leading initiatives in observability, automation, and system resilience (SRE), ensuring uptime and stability for customers in production.
Driving performance tuning across distributed systems and data services (SQL/NoSQL, message queues, caching, etc.).
Collaborating cross-functionally with cloud, product, and DevOps teams to enhance CI/CD pipelines and deployment automation.
Mentoring junior engineers and contributing to best practices around reliability, testing, and data operations.
Championing cloud-native engineering across Azure and GCP environments.
Requirements
5+ years of experience in backend or data engineering
Strong expertise in Java (or a JVM-based language) and data platform technologies (e.g., Kafka, Spark, PostgreSQL, Elastic, Redis)
Deep understanding of cloud infrastructure (Azure and/or GCP) and containerized environments (Kubernetes, Docker)
Proven experience in observability, automation, and system reliability (SRE, Prometheus, Grafana, Terraform, etc.)
Strong grasp of CI/CD pipelines, DevOps workflows, and Infrastructure as Code
Excellent analytical, problem-solving, and debugging skills across complex systems.
A collaborative mindset and the ability to lead by example in a fast-paced, innovative environment.
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