Data Platform Engineer
1 week ago
**Data Platform Engineer**:
Level: Vice President
Location: Singapore (Remote)
**Permanent employee, Full time**
SUMMARY
We are seeking a senior software developer who is passionate about data engineering. As part of DevSecOps, our core engineering & production management team, you will build, deploy and support a petabyte-scale, cloud-based data platform with both batch and real-time feeds. Development will be fast-moving and iterative following Agile practices. You will collaborate closely with our frontend and risk platform developers and our test automation engineer to create a fast, reliable, resilient and maintainable system that delights our clients. You will also work with our research team to ensure they have high-quality data to meet their needs. As a senior developer, you will also work with the CTO on design and best practices for the whole data platform.
RESPONSIBILITIES
- Design & develop complex data pipelines to support real-time and batched based services
- Work closely with our quant researchers to source and integrate new data feeds
- Work closely with our test automation engineer to build automated regression & load tests
- Write unit tests
- Peer & junior developer code review
- Peer & junior developer design review
- Configure backend systems using Kubernetes
- Deploy services on the public cloud
SKILLS REQUIRED
- At least 10 years of IT industry experience
- Server-side Java microservice development experience (e.g. SpringCloud, Eureka)
- Experience building both REST, GRPC and Websockets-based API's
- Experience with common Big Data technologies like Hadoop Ecosystem, Flink, Spark Streaming, Redis, Pulsar, Kafka or the equivalent stacks
- Experience with data security best practices such as data encryption, masking and fine grained data access control
- Experience deploying reliable, scalable cloud-based platforms on Kubernetes
- Comfort working with data scientists & quantitative researchers
- Comfort working in a fast-moving environment with an Agile development methodology
- Attention to detail and a passion for assuring data quality
- Excellent communication skills
SKILLS DESIRED
- Experience with second-generation data engineering packages like Flink and Flyte
- Knowledge of the digital asset market or traditional markets (Equities, FX and Fixed Income)
- Azure cloud deployment experience
EEO STATEMENT
Cloudwall Capital SG Pte Ltd. is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals and in which personnel processes are merit-based and competence in the role applied without discrimination on the basis of race, color, religion, gender, gender identity, sexual orientation, gender expression, age, citizenship, marital status, disability, country of origin, or other protected characteristic.
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