Senior Data Engineer
Core
Design, build, and operate an enterprise People Function Capability Layer integrating multiple systems in a cloud-native, event-driven environment.
Role type
Senior hands-on IC data engineer
Builds
High-performance, event-driven integration pipelines and scalable data platforms
Domain
Financial markets infrastructure / People data ecosystem
Deliverable
production ML models | product features | infrastructure
Required skills
Golang, Python, AWS cloud services, relational databases, NoSQL stores, message brokers, RESTful APIs, CI/CD tools, containerization, observability platforms, cloud security
Preferred skills
AWS certifications (Data Engineer, Solutions Architect, Developer)
Technologies
Golang, Python, AWS (Lambda, SQS, SNS, EC2, S3, RDS, API Gateway, VPC, EKS, ECS, IAM, CloudWatch), Kafka, RabbitMQ, PostgreSQL, MS SQL, DynamoDB, Jenkins, GitLab CI, Docker, Datadog, Prometheus
Responsibilities
Build and lead development of high-performance event-driven integration pipelines; Define and enforce technical standards, design patterns, and engineering best practices; Design and enforce canonical data models and schemas; Build and manage CI/CD pipelines; Drive observability and monitoring using tools such as Datadog and Grafana; Design, provision, and manage AWS infrastructure for data workloads
Seniority
Senior, hands-on IC
