Senior Data Engineer (Python/Azure)

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. 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, 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