Odpovědnosti

Původní popisek.

Software & Data Engineering
Design, develop, and maintain robust, scalable, and production-ready Apache Spark applications.
Develop efficient data processing, transformation, and analysis workflows using Python and Spark.
Build solutions capable of handling large-scale datasets while maintaining high performance and reliability.
Work with columnar data formats, particularly Parquet, and implement data solutions using Delta Tables.
Develop clean, maintainable, testable, and efficient code in accordance with established engineering standards.

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O pozici / o projektu

Původní popisek.

About the Project

You will join a dynamic technology team responsible for designing, developing, and deploying innovative enterprise technology and AI-driven solutions supporting the delivery of tax services.

The team combines expertise across software engineering, data engineering, AI, tax technology, change management, and project management . The projects cover the full technology lifecycle — from solution design and development through deployment and optimization, to training, adoption, and stakeholder engagement.

You will work in a modern, cloud-based environment and contribute to the development of scalable data processing solutions, with a strong focus on Python, Apache Spark, cloud technologies, microservices, and modern data platforms .

Technology Stack

Cloud: Microsoft Azure
Data Processing: Apache Spark, Databricks, Azure Synapse / Microsoft Fabric
Backend: Python, .NET 8, https://jobeax.com/link/GrYTXLZMpxEMJknV Core
Data: MongoDB, Azure SQL, Parquet, Delta Tables
Frontend: Angular 18, Kendo
AI / GenAI: LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
Architecture: Microservices
DevOps & Collaboration: GitHub Enterprise, GitHub Copilot
Containerization: Docker, Kubernetes

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Python & Apache Spark Engineer / Data Processing Specialist @ Square One Resources

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