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

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SeniorZdalnieFull-time

#477067·Dodano 5 dni temu·5

Źródło: EPAM Systems

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Tech Stack / Keywords

Python FastAPI Next.js React TypeScript SQL Docker Kafka PostgreSQL Kubernetes

Podsumowanie oferty

Support the Data Team in bringing entity, portfolio, and security reference data closer to the investment lifecycle. Design and develop full-stack applications and data integration solutions using Python, FastAPI, and Next.js.

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 applications deployed as containers 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 supporting reference data management and investment-related workflows.
Build backend services, APIs, and data-processing components.
Develop responsive frontend interfaces for data management, validation, search, review, and operational workflows.
Deliver data integration solutions for managing and distributing entity, portfolio, and security reference data.
Establish data relationships between investment entities, funds, portfolios, securities, issuers, counterparties, and related financial instruments.
Support reference data onboarding, enrichment, validation, approval, reconciliation, and downstream distribution workflows.
Collaborate 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, mentoring, and 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.
Benefits package including health insurance, multisport, and shopping vouchers.
Referral bonuses up to $2,000.
Free snacks and coffee at offices.
Corporate, social, and well-being events.

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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