emagine

Finance Data Platforms - AI Python Engineers - SDLC (Ireland)

Brak informacji o wynagrodzeniu

MidHybryda·DublinFull-time

#471740·Dodano 10 dni temu·0

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

Object-Oriented Programming (OOP)Project ManagementtrainingMicrosoft SQL Server MySQL PostgreSQL Linux SQL PythonOperations

Podsumowanie oferty

The role supports data-driven applications for VAT recovery and regulatory reporting in a banking environment. It focuses on production support, data workflows, and operational improvements using Python, SQL, and MongoDB.

Wymagania

10+ years of Python experience, including support and maintenance of enterprise-scale applications.
Strong operational data engineering experience supporting large-scale, business-critical data platforms.
Experience monitoring and troubleshooting production data workflows and batch processing environments.
Strong SQL skills, including analysing performance issues and optimising complex queries.
Experience supporting MongoDB environments, including monitoring, troubleshooting, and performance tuning.
Hands-on Linux administration and Bash scripting experience.
Experience with Autosys or similar enterprise scheduling and workload automation tools.
Strong understanding of production support, incident management, and root cause analysis.
Experience implementing monitoring, alerting, and operational best practices.
Knowledge of testing frameworks including PyTest and TDD principles.
Ability to work independently in a fast-paced, highly regulated environment.

Nice to have:

Banking or financial services experience.

Obowiązki

Monitor and support critical Python data applications and workflows, ensuring high availability, stability, and performance.
Investigate and resolve data quality issues, application failures, and production incidents.
Identify performance bottlenecks across Python applications, SQL databases, and MongoDB environments.
Manage and optimise large-scale data processing workflows handling high-volume datasets.
Monitor job execution and batch processing schedules using Autosys.
Support production environments within Linux, using scripting and automation to improve operational efficiency.
Work with business and technical stakeholders to resolve data discrepancies and ensure reporting accuracy.
Develop monitoring, alerting, and operational best practices across data platforms.
Use Git and Agile delivery methodologies to support controlled releases and continuous improvements.
Contribute to root cause analysis, incident management, and preventative maintenance.
Provide technical guidance and mentoring to junior team members.
Ensure data solutions meet regulatory, audit, and compliance requirements in a banking environment.

emagine

1236 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz