Own and improve security reference data infrastructure for global trading, from development and testing through release and support, while resolving production issues and automating operational workflows.
Software Engineer - Data
📜 Description
- Create and maintain data-processing pipeline architecture and ETL infrastructure using SQL and big data technologies.
- Automate manual processes, improve data delivery, and redesign infrastructure for scalability.
- Build analytics tools that surface insights into customer acquisition, operational efficiency, and business performance.
- Analyze complex datasets, identify trends, and produce ongoing reports using statistical techniques.
- Support Executive, Engineering, and Operations stakeholders with data infrastructure, analysis, and reporting.
- Secure data across multiple data centers and AWS regions.
🛠️ Requirements
- MS in Computer Science, Electrical Engineering, or related field
- 1+ years of software engineering experience
- Good oral and written communication skills
- Expertise in Python, SQL, microservices, databases, data pipelines
- Technical expertise regarding data models, database design and development, data mining and segmentation techniques
- Experience with large scale data processing, e.g. MapReduce, Spark, Kafka
- Experience with AWS core technologies such as S3, EC2, RDS
- Extensive software design and development skills
- Ability to learn and adapt to new technologies and contribute in a productive environment.
- Strong knowledge of and experience with reporting packages
✨ Benefits
- Catered free lunch.
- Unlimited snacks and beverages.
- Competitive salary and benefits package.
- 401(k) plan.
- Opportunities for personal and professional development.
Full job description
Responsibilities:
Required Skills:
Preferred Skills
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