Regulatory Reporting Tech Lead | Java/Python on Databricks

JPMorgan Chase & Co.

Singapore

In loco

SGD 150.000 - 190.000

Tempo pieno

5 giorni fa
Candidati tra i primi
Generatore di candidature

Una candidatura fatta su misura per questo lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Descrizione del lavoro

JPMorgan Chase & Co. in Singapore seeks a Lead Software Engineer to drive end-to-end technical delivery of regulatory reporting initiatives, focusing on scalable, secure data platforms.

You will implement solutions across Databricks/Spark, apply AI-assisted engineering to accelerate delivery, and lead communities of practice to raise standards in code quality, testing, and architecture. Strong Java/Python and data-pipeline experience required.

Competenze

  • Bachelor's degree in a technical field.
  • 5+ years of software development or system engineering experience.
  • Experience delivering data pipelines and regulatory reporting.

Mansioni

  • Executes creative software solutions with the ability to think beyond routine problems.
  • Develops secure production code and reviews code written by others.
  • Builds and optimizes large-scale data and reporting pipelines on Databricks/Spark with data quality and reconciliation controls.
  • Applies AI and ML techniques to accelerate delivery and automate workflows.
  • Leads architectural discussions and drives adoption of AI-assisted engineering practices across the team.

Conoscenze

Agile methodologies
Automation
Data processing
Security best practices
Team collaboration

Formazione

Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines

Strumenti

Java
JUnit
Maven
Hibernate
Spring Boot
Spring JPA
Spring Batch
Python
Databricks
Apache Spark
PySpark
Delta Lake
Spark SQL
Oracle
MySQL
CI/CD tools

Descrizione del lavoro

JPMorgan Chase & Co. in Singapore seeks a Lead Software Engineer to drive end-to-end technical delivery of regulatory reporting initiatives, focusing on scalable, secure data platforms.

You will implement solutions across Databricks/Spark, apply AI-assisted engineering to accelerate delivery, and lead communities of practice to raise standards in code quality, testing, and architecture. Strong Java/Python and data-pipeline experience required.

Ottieni la revisione del curriculum gratis e riservata.

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