onsite
Specialist, Data Management & Quantitative Analysis II
Software Engineer
Drive data pipelines, build CI/CD dashboards, and create analytical APIs using Python, SQL, and AWS services while delivering clear visualizations for business stakeholders.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines that ingest, transform, and store large‑scale datasets in Amazon S3.
- Build and automate CI/CD dashboards to monitor data quality, pipeline health, and performance metrics.
- Create robust RESTful APIs that expose processed data for internal and external consumption.
- Develop interactive visualizations and reports that translate complex quantitative findings into actionable insights.
- Collaborate with data engineers, analysts, and product owners to define data requirements and ensure alignment with business goals.
Requirements
- 3+ years of experience with Python and SQL for data manipulation and analysis.
- Strong knowledge of AWS services, especially S3, Lambda, and CloudFormation, and experience implementing CI/CD workflows.
- Proven ability to design and document RESTful APIs and data integration solutions.
- Hands‑on experience with data visualization tools such as Tableau, Power BI, or Looker.
- Excellent problem‑solving skills and the ability to communicate technical concepts to non‑technical stakeholders.