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Senior Full-stack Engineer (Python, React, AWS)

EPAM·Salary not specified

Primary stack

SnowflakeReactPythonPostgreSQLFastAPI

Nice to have's

DagsterKestradbtAG Grid

Job description

About the Position

We are seeking a Senior Full-stack Engineer to strengthen the operational foundation of the fund by expanding the application and deepening the insights available to the Infrastructure team.

Responsibilities

  • Enhance and modernize data ingestion pipelines to support scalable data processing
  • Develop and maintain high-performance REST APIs and backend services using Python and FastAPI
  • Enrich executive-level dashboards and reporting capabilities to support decision-making
  • Improve monitoring and audit workflows to ensure data accuracy, reliability, and transparency
  • Maintain operational data storage, application metadata, and audit logs within PostgreSQL
  • Support ingestion, financial calculations, and historical reporting within Snowflake
  • Orchestrate business logic and service processing to strengthen platform reliability
  • Collaborate with the Infrastructure team to align technical solutions with fund operations

Requirements

  • 5+ years of experience in full-stack software development using ReactJS
  • Proficiency in Python for business logic, service orchestration, and data processing
  • Expertise in FastAPI for building high-performance REST APIs and integration endpoints
  • Skills in PostgreSQL for operational data storage, metadata management, and workflow state tracking
  • Familiarity with Snowflake for enterprise data warehousing and analytical workloads
  • Understanding of data accuracy, reliability, and transparency principles across platforms
  • English proficiency at B2 level or higher

Nice to Have

  • Knowledge of Dagster and Kestra for pipeline orchestration, scheduling, and workflow automation
  • Familiarity with dbt for modeling, transforming, and validating datasets
  • Background in React.js for building responsive user interfaces
  • Skills in AG Grid for data-intensive table interactions in monitoring and approval workflows

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