Python & Apache Spark Engineer / Data Processing Specialist @ Square One Resources v Česko
Square One Resources
Na dálkuPráce odkudkoli
Česko
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.
Ukázat vše (21)
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
... Strong fundamentals in data modeling, quality, orchestration, and lineage - Proficiency with Linux, shell scripting, SQL, and Python - Professional working proficiency in English - Collaborative mindset with open communication and shared responsibility - Experience with Docker, Kubernetes, or Apache Spark preferred []
... and Apache Spark / PySpark. - Migrating the existing data platform to Databricks (lakehouse), including rewriting legacy MS SQL Server stored procedures into Spark / Databricks SQL. - Building and maintaining a data service — a Python backend exposing data over a REST API, together with its web UI — from data model through ...
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... or large-scale data processing. - Familiarity with performance-oriented software concepts such as profiling, memory management, concurrency, or vectorized processing. - Experience with C++, Apache Arrow, Parquet, Apache Iceberg, Spark, Hadoop, or cloud object stores. - Contributions to open-source projects. What we value ...