Data Engineer
On-site · Manila, Metro Manila, Philippines
Job Summary
Data Engineer at HedgeServ responsible for ETL development using Python and Jupyter notebooks, transforming multi-source data, migrating legacy Excel logic to robust Python code, and maintaining documentation. Will support incident response, contribute to continuous improvement, and collaborate with global teams across business units while learning the financial services/hedge fund domain. Role involves designing, building, testing, and evolving ETL pipelines, data transformation, and ensuring SLA-compliant support and production fixes; opportunities to author guidelines and playbooks and work on short- and long-term internal projects. Requires working during U.S. business hours and will leverage AWS, Python, SQL, Excel, and XML-related workflows within a distributed, global team.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or equivalent professional experience
- Strong proficiency in Python; experience with SQL and Bash is also required
- Solid knowledge of data-science libraries such as Pandas, NumPy, and SciPy
- Advanced Excel skills, including complex formula construction
- Ability to read and interpret XML schemas and understand XML-based workflows
- Experience and knowledge using AWS technologies including Kibana and APM for troubleshooting
- Deep grasp of object-oriented programming, design patterns, and core software engineering concepts
- Experience in agile software development, release and change management, and frequent deployments into production environments
- Experience in the financial services industry and some knowledge of financial products is a plus
- Excellent written and verbal communication skills in English
- Please note that this role requires working during U.S. business hours
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