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DataOps Engineer

Lviv/Kyiv/Remote, Ukraine

N-iX is looking for an experienced DataOps Engineer to join the global team behind a mobility company that aims to democratize vehicle ownership and financing on the entire continent.

About the role:
You will join a team of 5 Data professionals and Build a Data Lake platform from scratch using cutting-edge technologies. You will also be involved in developing new data pipelines, ingesting, and data orchestration.
The Data Team is a brand-new function that’s been created with data at the heart and minds of growing the business to be a data-led company. We want to hear from experienced and creative data analysts who want to use their skills to improve people’s lives and help us democratize mobility thru fintech.
 
Responsibilities:

  • Work within the global tech team, using your expertise to build highly automated provisioning, monitoring, and operational capabilities for data
  • Support the ongoing growth, design, and expansion of our data platform across a wide variety of data sources, enabling large scale support across an array of streaming, near real-time, and research workflows
  • Provide development of scripting for the cloud platform components and service with CI/CD tooling and services as needed. This scripting may span Jenkins, CloudFormation, shell scripting, Terraform, and ansible as required by the platform
  • Provide exceptionally strong skills in version management and using repositories such as git for ETL, SQL, and other scripting versioning and deployment management
  • Provide ownership and execution of product installation and configuration to prescribed landscape/architecture and best practices for the product. Configure services to meet functional and non-functional requirements, including security compliance
  • Develop data pipelines as required using AWS services
  • Conduct maintenance of ETL code, data quality, reliability, and performance including but not limited to process monitoring, data validation, and data refresh
  • Provide support to data analysts and data scientists with planned and ad hoc data requests, access, and extracts of data contained in a variety of SQL database systems including Aurora
  • Continuously improve automation, processes and service reliability, availability, and performance across the cloud data and application platform


Requirements:

  • Experience in data pipelines design and development with  AWS Glue, Streamsets, or equivalent ETL tools 
  • Ability to create and orchestrate complex and efficient data pipelines across relational, NoSQL, and other data sources including data APIs and streaming data
  • Strong experience in maintaining ‘as a service’ model for data pipelines, databases, CI/CD tooling
  • Excellent troubleshooting and performance optimization skills for ETL platform administration, integration, and performance monitoring
  • Code maintenance, version control, and documentation
  • Experience in building ETL pipelines in AWS Glue
  • Experience in developing RESTful web services for data APIs
  • Strong experience with DataOps principles for automation, lean ops, and Agile
  • BS or MS in Computer Science or related fields
  • English level – upper-intermediate or higher


Nice to have:

  • Experience with containerization and container orchestration technologies, like Docker, Kubernetes, and Argo is a plus
  • Python experience
  • Experienced with Python libraries for web scraping such as beautiful soup and scrapy


We offer:

  • ​Flexible working hours
  • ​A competitive salary and good compensation package
  • ​Best hardware
  • ​A masseur and a corporate doctor
  • ​Healthcare & sport benefits
  • ​An inspiring and comfy office


Professional growth:

  • Challenging tasks and innovative projects
  • ​Meetups and events for professional development
  • ​An individual development plan
  • ​Mentorship program


Fun:

  • ​Corporate events and outstanding parties
  • ​Exciting team buildings
  • ​Memorable anniversary presents
  • ​A fun zone where you can play video games, foosball, ping pong, and more

 

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