Python & Apache Spark Engineer / Data Processing Specialist @ Square One Resources v Zahraničí, Česko
Square One Resources
Na dálkuPráce odkudkoli
Czech Republic
Python & Apache Spark Engineer / Data Processing Specialist @ Square One Resources v Zahraničí, Česko is listed on Jobeax. Browse 90,000+ vacancies available.
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
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... development of APIs, database schemas, and data models Troubleshoot and resolve software defects, ensuring high-quality and scalable solutions Proven experience with engineering with Python Proficiency in REST APIs, Git, and Unit Test writing Knowledge of NoSQL and SQL databases, event-driven systems & microservices Experience with ...
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... development tools and share best practices - Collaborate in a distributed team, taking ownership of impactful projects O pozici / o projektu Původní popisek. Join the Data Platform team to build and maintain data-driven applications, including AI-powered data access tools. Work on a mix of legacy, improved, and greenfield projects ...
... collaborating with both Data Practice peers and business stakeholders within the organization. The skills & knowledge you should bring include: - 5+ years of data engineering/software engineering or equivalent experience, - advanced knowledge of Python, including data processing and analytical libraries, - working knowledge ...
... infrastructure provider and contribute to the development of business-critical platforms used across international markets. The ideal candidate is a hands-on engineer with strong backend development expertise in Java and Python/Django , capable of working throughout the entire software development lifecycle. The engineer ...
Czech Republic
Zobrazit nabídku
Deutsche Telekom Services Europe Czech Republic s.r.o.
... automation, Agentic AI, and data science. Innovative ideas are welcome. - You will actively mentor engineers, support their development, and promote software engineering best practices across the team. Your skills: Must have: - At least 8 years of experience building and operating production-grade software in Python, preferably ...
... implement requirements Ukázat vše (8) O pozici / o projektu Původní popisek. What will you do? You will work as a key member of a technical team alongside Engineers, Data Analysts and Business Analysts, contributing to a collaborative Agile development process while designing, developing and maintaining scalable data solutions ...
... with tools such as MS Fabric, Databricks, Snowflake, ADF, dbt, Kafka, Apache Spark Strong knowledge of data governance and compliance principles Proficiency in Python, PySpark and SQL is an advantage ➕ Ability to translate business requirements into scalable, maintainable data solutions Ability to lead technical discussions ...
... and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous ...
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Odpovědnosti Původní popisek. - Backend Development: - Design, develop, and maintain APIs using Python and other relevant frameworks - Work with SQL databases to create, optimize, and manage queries and data models - Develop and maintain backend services using Java and .NET frameworks - Automate infrastructure and deployment ...
... performance and efficiency, identifying bottlenecks and implementing solutions to improve response times and resource utilization; - Implement complex algorithms and data structures to handle data processing, operations research (OR), recommendation systems, and optimization problems; Ukázat vše (11) O pozici / o projektu Původní ...
... platforms, and relational databases, including Teradata, Oracle, and PostgreSQL. - Support development of reporting and analytical solutions. - Contribute to data processing, data quality, and system integration initiatives. - Take ownership of selected components and ensure their reliability, maintainability, and performance. ...
... Informatics, Data Science, Statistics, Mathematics, Computer Science, or a related field is essential. - A minimum of 2 years of demonstrated experience as a Data Engineer or in a similar role is required. - Proficiency in working with data processing tools such as Apache Airflow, dbt or SSIS is a requirement. - Proficiency ...
... to success - Strong experience with Databricks, Apache Spark and Delta Lake - Advanced SQL for analytical querying, optimization and data modelling - Strong Python development skills (testing, version control, engineering best practices) - Proven track record building and operating ETL/ELT pipelines from APIs , databases ...