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Capital Group

Asset management with long-term portfolios

Senior Data Engineer 3

Data EngineeringConfirmed live in the last 24 hours
Full-timeSingaporeIn-person

About the Job

Requirements

  • Strong experience in production data operations and Site Reliability Engineering practices.
  • Expertise with Databricks job monitoring and performance optimization.
  • Experience with Apache Airflow for workflow orchestration and operational management.
  • Familiarity with ServiceNow for incident and problem management, as well as operational workflows.
  • Proficiency in SQL and at least one of Python, Scala, or Java.
  • Experience building monitoring, alerting, logging, and observability frameworks.
  • Knowledge of ETL/ELT pipelines and distributed data processing systems.
  • Experience implementing data quality controls and validation frameworks.
  • Familiarity with cloud-based data platforms, data lakes, and warehouses.
  • Strong understanding of incident management and root cause analysis practices.
  • A strong operational mindset focused on stability, resilience, and rapid issue resolution.
  • Advanced problem-solving and root cause analysis capabilities.
  • Ability to translate production insights into systemic improvements.
  • Experience working in cross-functional teams.
  • Strong communication, especially during incidents and stakeholder updates.
  • Ability to balance speed, risk, and long-term sustainability.

Responsibilities

  • Own the operational health, availability, and reliability of production data platforms and pipelines.
  • Design and implement monitoring, alerting, and observability solutions to enable early detection of issues.
  • Lead incident response, triage, and resolution efforts, restoring services quickly and safely.
  • Conduct root cause analysis and postmortems, driving corrective actions to prevent recurrence.
  • Proactively identify risks, trends, and service gaps, and implement improvements to strengthen resilience.
  • Define and track SLAs/SLOs and continuously improve service performance.
  • Build and maintain end-to-end monitoring capabilities across pipelines, data quality, and delivery layers.
  • Define and implement data quality rules, controls, and validation frameworks.
  • Ensure visibility into pipeline health, data freshness, completeness, and accuracy.
  • Automate validation and health checks to reduce manual effort and improve reliability.
  • Support and optimize existing data pipelines and platforms, ensuring operability, scalability, and performance.
  • Partner with engineering teams to ensure solutions are production-ready with appropriate monitoring and support models.
  • Contribute to operational readiness for new data products.
  • Create and maintain runbooks, documentation, and support procedures.
  • Establish strong feedback loops between production operations and engineering teams.
  • Translate incidents and operational trends into actionable improvements and engineering standards.
  • Influence system design by advocating for resilience, observability, and supportability.
  • Promote automation, standardization, and reliability-first practices.
  • Collaborate with product, platform, governance, and business stakeholders to align operational priorities with business outcomes.
  • Represent reliability and support considerations in design and roadmap discussions.
  • Mentor junior engineers and promote a culture of operational excellence.

Desired Qualifications

  • Understanding of financial services or asset management data domains.
  • Familiarity with securities, portfolios, transactions, and pricing data.
  • Awareness of regulatory, compliance, and governance requirements.
  • Experience handling sensitive financial data with strong controls.

About the Company

Capital Group

Asset management with long-term portfolios

Capital Group is a private investment firm managing equity and fixed-income assets for millions of investors. It builds long-term, high-conviction portfolios using rigorous research and the American Funds lineup to pursue steady, durable results rather than short-term trades. It differentiates itself through strong personal accountability, a globally distributed team, and a research-driven investment process. Its goal is to improve people’s lives through successful investing.

Company size
5,001-10,000
Company stage
Not listed
Total funding
$65.4B
Headquarters
Dongcheng District, China
Founded
Not listed

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