Senior Data Engineer (Azure Databricks, Python)

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Senior Data Engineer (Azure Databricks, Python)
Rate: $40 per hour

What You’ll Do
● 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

What You Bring
● 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

Nice to have
● 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

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