Senior Data Engineer (Python/Azure)
SQUARE ONE RESOURCES sp. z o.o.
⚲ Warszawa
160–170 zł netto (+ VAT) / godz.
Wymagania
- Python
- Databricks
- Apache Spark
- Microsoft Azure
- FastAPI
- Docker
- Kubernetes
- Redis
Opis stanowiska
Nasze wymagania:
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
Mile widziane:
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
O projekcie:
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
Zakres obowiązków:
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
Mile widziane:
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
O projekcie:
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
Zakres obowiązków:
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
🔍 Dekoder Ogłoszenia
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Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
Oczekuje się, że będziesz potrafił działać w chaotycznym środowisku, gdzie procesy są często ignorowane na rzecz szybkiego dostarczania.
🔴
Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
Będziesz musiał samodzielnie organizować swoją pracę i radzić sobie z presją czasu, ponieważ brakuje formalnego zarządzania.
🔴
Solid understanding of microservices architecture and its implementation in scalable systems
Może oznaczać, że będziesz pracować z istniejącą, potencjalnie skomplikowaną i trudną w utrzymaniu architekturą mikroserwisów.
🔴
It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives
Praca może wymagać od Ciebie elastyczności i przejmowania obowiązków wykraczających poza ścisły zakres roli inżyniera danych.