Project in healthcare industry.

Responsibilities

• Build the automation processes of our Big Data platforms.
• Install, deploy, configure, maintain and monitor infrastructure, systems, and management tools of our Big Data platforms.
• Ensure the highest levels of systems and infrastructure availability for our Big Data platforms.
• Ensure the proper security standards in terms of infrastructure, systems, and processes.
• Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement fixes Provide 2nd level support.
• Liaise with vendors (Azure and Databricks) and other IT personnel for problem resolution.

General Requirements

• University degree or similar education in Software Engineering or Computer Science.
• At least 3 years experience in DevOps and/or in using automation to build infrastructure.
• Fluent English and good communication skills both in verbal and written form.
• Ability to work in a globally distributed environment.

Technical Skills

• Understanding of infrastructure automation concepts and good hands-on knowledge of Ansible.
• Understanding of containerization concepts and strong knowledge of Docker.
• Good understanding of Versioning Control systems and strong knowledge of Git.
• Hands-on experience in Linux administration and in Bash scripting.
• Experience with Jenkins.
• Proficiency in writing scripts in Python.
• Understanding of cloud paradigms (IaaS/SaaS/PaaS).
• Understanding of networking concepts and cybersecurity best practices.
• Understanding of agile software development process.
• Accustomed to leverage tools like Confluence and Jira for knowledge and collaboration management.
• Hands-on experience with MS Azure.
• Experience with container orchestration and knowledge of Azure Kubernetes.
• Familiarity with Big Data technologies: Spark/Hadoop, Azure Databricks, Apache Airflow.
• Understanding of SQL and NoSQL database types, paradigms, and design patterns.

The company with years of experience in getting you the most productive software product development staff in worldwide development centers. They don't do technology for the sake of technology with understanding that it is all about business.

The project is a cloud-based quant platform (target demographics is rocket scientists in the Wall Street sense of the word).

Requirements and responsibilities:

- Опыт BigData AI.

- Опыт C++ developer.

- Prior experience developing real-time trading apps help.

- Financial math pedigree.

- competency in multiple platforms (AWS, GCP, Azure) is a plus.

Role Description

Data engineer will be responsible for improving and expanding our data capabilities:

· You will design and develop data applications in one of languages: Python, Scala, SQL

· Develop, customize and manage data integration tools, databases, warehouses, and analytical systems

· Design, build and maintain scalable data models that are clean, tested, and well documented

· Work closely with product teams and other stakeholders to desing and build data marts providing reliable and accurate data in a fast way

· Handle all our data pipelines and contribute towards our data strategy and its execution

Experience, Competencies and Skills Required

· 2+ years of experience as a Data Engineer building data pipelines and analytical data models

· At least 2 years of hands-on experience with Python, SQL. Knowledge of Scala is a plus

· Strong competencies in algorithms and software architecture

· Strong experience in real-time data processing and data ingestion

· At least 2 years of hands-on experience with Big Data systems like Hadoop, Spark

· Experience building data infrastructure using at least one major cloud provider, preferably AWS

· Knowledge of Terraform is a plus

· Knowledge of Scrum, Agile

· Advanced English, good Russian