2h 15m ago
Data Engineer
General Data Engineering
🏢On-site
$40 USD/hr
apachecode_reviewdatadata_science/data_engineering+7
Data Engineer
General Data Engineering
On-site
Contract
$40 USD/hr
Source not independently verified
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#vacancy #вакансия #job #DataEngineer
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
телеграм для связи @horoshkoaleksa
Required Skills
apachecode_reviewdatadata_science/data_engineeringdockerfastapikubernetesmicroservicespandaspythonredis
Required Languages
🇬🇧 English
Key competency: General Data Engineering