
Senior Data Engineer, B2B – Databricks, Python, Azure
Posted Sep 15

Posted Sep 15
This is a fully remote position, open to applicants in Bulgaria, +1 more country.
• Establish and uphold best practices and coding standards throughout the project.
• Perform code reviews to ensure high standards of code quality.
• Work autonomously while also collaborating closely with the team.
• Provide clear guidance to team members and assist in managing daily operations.
• Maintain regular communication with the client.
• Design, develop, and sustain robust, scalable Spark applications.
• Write clean, maintainable, and efficient code.
• Enhance code for performance, scalability, and effective data handling.
• Collaborate with cross-functional teams to deliver superior software solutions.
• Identify and resolve technical challenges to ensure application reliability and performance.
• Create and maintain comprehensive documentation for code, processes, and workflows.
• Over 5 years of practical experience in software development.
• Extensive knowledge of Apache Spark, including Databricks and/or Azure Synapse/Fabric.
• Proficiency in Python programming.
• Strong skills in data manipulation using Pandas/Polars and similar tools.
• Familiarity with Parquet and hands-on experience with Delta Tables.
• Expertise in data processing, analysis, and transformation workflows.
• Strong analytical and problem-solving skills.
• Capability to balance standardized processes with the flexibility required to meet project objectives.
• Excellent organizational skills to self-manage, prioritize tasks, structure workload, and meet tight deadlines.
• Understanding of microservices architecture and its implementation in scalable systems.
• Experience with Azure Cloud services or other major cloud platforms, including SaaS offerings like Service Bus, Data Lake, Blob Storage, and Redis (preferred).
• Familiarity with FastAPI (preferred).
• Proficient in Docker and Kubernetes (preferred).
• Remote work arrangement.
• Standard or B2B contract options.
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