Senior Python Engineer with Cloud (Upskilling to Data)
| Адрес | Remote |
Описание вакансии
You are an experienced engineer with strong expertise in Python and cloud computing. You are looking for an opportunity to transition to a career as a Data Software Engineer. If so – join our team and boost your professional growth through our Data Engineering Program. This program is tailored to equip you with progressive data engineering skills that meet current market demands and propel you into exciting projects.
The program offers employment benefits as you will become a full-time EPAM employee during the 3-month training period. After the training, you can expect project assignments that leverage your enhanced skills. The comprehensive curriculum covers essential topics ranging from an introduction to Docker, Kubernetes, and Big Data to an in-depth exploration of Hadoop, DevOps and Spark, along with a focus on Kafka, Elastic Stack and various NoSQL technologies.
The remote option applies only to the Candidates who will be working from any location in Kazakhstan.
About the program
The program offers employment benefits as you will become a full-time EPAM employee during the 3-month training period. After the training, you can expect project assignments that leverage your enhanced skills. The comprehensive curriculum covers essential topics ranging from an introduction to Docker, Kubernetes, and Big Data to an in-depth exploration of Hadoop, DevOps and Spark, along with a focus on Kafka, Elastic Stack and various NoSQL technologies.
The remote option applies only to the Candidates who will be working from any location in Kazakhstan.
Требования
- Proven enterprise experience in Python (pandas or similar libraries)
- Proficiency in Azure or AWS or GCP
- Background in Linux: skilled in-service configuration and scripting
- Basic knowledge of Docker, Kubernetes and Terraform
- Skills in database: strong in SQL and relational algebra
- Understanding of networking fundamentals
Обязанности
- Lead modern data platforms implementation starting from requirements identification and up to production releases
- Design and develop highly scalable, maintainable and data centric solutions
- Create, optimize and maintain EL/ETL/ELT data pipelines, orchestration processes and data models
- Ensure data quality processes, monitoring and data cleansing
- Contribute to data governance activities
- Collaborate with cross-functional teams to integrate data into various systems and applications
- Drive and facilitate direct communication with project sponsors and business stakeholders
Добавлено 11 дней назад
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