Senior Full Stack Engineer (Python & Next.js) with Data Integration

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SeniorZdalnie·ŁódźFull-time

#477461·Dodano 5 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Python fastapi Next.js React TypeScript SQL PostgreSQL Docker Kubernetes ETL

Podsumowanie oferty

You will build full-stack applications and data integrations for managing entity, portfolio and security reference data across the investment lifecycle. The role supports the Data Team working with Investment Systems Engineering, using Python, FastAPI, Next.js, React, TypeScript and SQL.

Wymagania

7+ years of experience with Python, FastAPI, Next.js, React, TypeScript, SQL and Docker.
Experience designing and implementing RESTful APIs and event-driven integrations using Kafka.
Knowledge of SQL and relational databases, preferably PostgreSQL, Microsoft SQL Server or equivalent.
Experience with data modeling, data validation and integration patterns.
Experience with data integration, ETL/ELT and Python data pipelines.
Working experience with Kubernetes clusters and containerized applications using Ubuntu-based images.
Commitment to test automation, including unit and manual integration testing.
Experience working in agile teams on complex, high-stakes applications.
Collaborative mindset and commitment to code reviews and peer learning.
Comfortable working with teams across the globe.
Familiarity with Atlassian tools, including Jira and Confluence.
System design expertise across microservices, database modeling and API design.
English proficiency at B2 level or higher.

Nice to have:

Experience with GitHub Actions, Jira–GitHub integrations and DevOps best practices.
Prior exposure to financial services or capital market domains.

Obowiązki

Design, develop and maintain full-stack applications for reference data management and investment workflows.
Build backend services, APIs and data-processing components, and develop frontend interfaces for data management, validation, search, review and operational workflows.
Deliver data integration solutions and establish relationships between investment entities, funds, portfolios, securities, issuers, counterparties and related financial instruments.
Support reference data onboarding, enrichment, validation, approval, reconciliation and downstream distribution.
Work with investment and operations stakeholders to understand how reference data supports the investment lifecycle.
Design and implement RESTful APIs and, where appropriate, event-driven integrations.
Integrate reference data services with internal investment platforms, data warehouses and enterprise applications.
Work with relational databases and data services to support efficient data access and processing.
Implement data transformation, validation and synchronization processes across systems.
Lead refactoring and redesign initiatives, architecting for resiliency, compliance and auditability.

Benefity

Career development programs.
Thought leadership, mentoring, soft skills and well-being programs.
Certification opportunities for Anthropic, Gemini, GCP, Azure and AWS.
English classes.
Participation in the Employee Stock Purchase Plan with a 15% discount.
Health insurance, multisport and shopping vouchers.
Referral bonuses up to $2,000.
Offices with entertainment and relaxation zones, table tennis, football, free snacks and coffee.
Corporate, social and well-being events.
Business-driven relocation opportunities.

Pakiet relokacyjny

Kursy językowe

Udziały pracownicze

Ubezpieczenie

Karta sportowa

Premie

Darmowe przekąski

Napoje w biurze

Spotkania integracyjne

Inne informacje

Remote work is available within Poland.
Opportunity to work abroad for up to 60 days annually.

EPAM Systems

1770 aktywnych ofert

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