Data Reliability Engineer

TL;DR

Data Reliability Engineer (Python/SQL): Maintaining and optimizing data infrastructure for global data delivery with an accent on ETL performance, scalability, and system resilience. Focus on profiling, debugging, and automating large-scale data processing pipelines, collaborating with SRE and infrastructure teams.

Location: Manila, Philippines

Company

hirify.global provides enterprise data management solutions to the global investment community, powering over US$75 trillion in assets under management annually.

What you will do

• Own and maintain core data infrastructure supporting global data delivery.
• Profile, debug, and optimize large-scale ETL and data processing pipelines for performance and reliability.
• Write and maintain Python and SQL code to support data workflows and archiving processes.
• Proactively monitor, detect, and resolve system bottlenecks using Datadog and other observability tools.
• Collaborate with Data Developers, SRE, and Infrastructure teams to ensure system scalability and disaster recovery readiness.
• Contribute to projects involving big data platforms, SMB clusters, and Palantir Foundry.

Requirements

• Strong hands-on proficiency in Python and SQL.
• Experience in profiling and optimizing ETL systems and large-scale data pipelines.
• Familiarity with IT infrastructure, working experience in a data center or cloud platform (AWS, Azure).
• Comfortable working with distributed systems and big data projects (SMB clusters, Palantir Foundry, Databricks).
• Familiarity with monitoring and observability tools (Datadog or similar).
• Strong problem-solver with the ability to dive deep into complex technical issues.

Nice to have

• Financial services or exposure to data-intensive domains.

Culture & Benefits

• Be part of an exciting phase of transformation, re-platforming, and enhancing working practices.
• Potential to grow into a team lead role over time.
• Work in a company committed to promoting diversity and inclusion.