Senior Data Engineer (Python / Apache Spark / Azure) @ Square One Resources

Square One ResourcesPolandPLN 2k–PLN 2k / yrPosted Jun 30

Jobs by Adzuna

Our requirements

5+ years of hands-on experience in software development
Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
Proven expertise in data processing, analysis, and transformation workflows
Strong analytical and problem-solving abilities with a detail-oriented mindset
Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
Solid understanding of microservices architecture and its implementation in scalable systems

Optional

Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
Familiarity with FastAPI
Expertise in containerization and orchestration tools such as Docker and Kubernetes

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management ,[Define and enforce best practices and coding standards across the project, Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality, Working both independently and in close collaboration with others in the team, Communicating clear instructions to team members and helping manage the flow of day-to-day operations, Communicating with the client regularly, Design, develop, and maintain robust and scalable Spark applications, Write clean, maintainable, and efficient code following best practices and coding standards, Optimize code for performance and scalability, ensuring efficient data handling, Work closely with cross-functional teams to deliver high-quality software solutions, Identify and resolve technical issues, ensuring the reliability and performance of applications, Create and maintain comprehensive documentation for code, processes, and workflows] Requirements: Azure, Apache Spark, Databricks, Azure Synapse, Python, Data Lake, Fabric Additionally: Sport subscription, Private healthcare.

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