We’re CHI Software, and we’ve been developing innovative tech-savvy solutions for startups and established businesses since 2006. Through cutting-edge technology, on-time delivery, and a robust engineering culture, we help businesses achieve bigger goals and impact people’s lives like never before.
13 апреля 2021

Senior Big Data Engineer for British fintech project (вакансия неактивна)

Киев, Харьков, Днепр, Запорожье, за рубежом, удаленно

Необходимые навыки

Requirements:
● Active GitHub/GitLab/Bitbucket account;
● 5+ years professional experience;
● Python 3.6+, Django;
● React;
● Bash/Shell Scripting;
● Snowflake;
● Postgres;
● Strong SQL skills;
● Pytest, unittest;
● REST API’s, Microservices, Swagger/OpenAPI, FastAPI;
● SQL and No SQL datastores, Postgres, MongoDB, Reddis;
● Spark/PySpark/Pandas;
● Docker/Kubernetes.

Будет плюсом

Nice to Haves:

● D3.js, Plotly, Highcharts, Shiny, or other Data Visualization tools;
● GoLang;
● CircleCI, CI/CD;
● GraphQL;
● Ansible/Chef/Puppet
● Terraform;
● DevOps, DevSecOps, Application Security.

Предлагаем

Sign-in Bonus — $1 500

We Offer:
● Competitive compensation and benefits;
● Flexible working schedule;
● Remote work or work in one of our development offices;
● Covered rest period (20 business days+ 5 days-off);
● Professional grows: variety of projects, regular technical events, mentorship;
● Free English classes (we have an amazing English teaching team);
● Speaking-club with a native English speaker;
● Truly friendly atmosphere and teambuilding’s

Обязанности

Responsibility:
● Design, develop, maintain, and deploy complex data and ETL pipeline solutions using; Apache Airflow, Kubernetes, Python (RESTful server side API’s) stacks and cloud services (GCP);
● Work with cloud systems, pipelines and resources;
● Perform data storage and persistence containers querying using SQL, NoSQL and caching technologies;
● Develop loosely coupled solutions that are scalable, testable, modularized and reusable;
● Develop solutions that leverage existing frameworks and libraries, align with the overall company architecture and vision;
● Build scalable and tolerant systems using container technologies (Docker) and cloud infrastructure (Kubernetes, GCP) as well as internal tooling to accelerate product development cycles;
● Learn and try new technologies, approaches and participate in bringing software engineering in this platform to the next level