Senior Big Data Engineer Offline

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.

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.

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

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