Python Data Engineer (AWS)

Requirements:
— 2+ years of experience working with Python: Django;
— Intermediate or higher level of English (B2+);
— Expertise in Python Package Scrapy;
— Experience with CI/CD: Gitlab, Docker, K8 (Amazon EKS/Distributed Processing Environments), Amazon EC2;
— Experience with DB: PostgreSQL, Amazon DynamoDB;
— Expertise in Data Engineering: Scrapy, Materialized view, ETL Prefect.

Be a plus:
— Experience with Python unit test framework;
— Experience with Logging: Datadog;
— Basic understanding of AI/ML;
— Metabase.

Responsibilities:
— Design, implement and maintain complex data engineering solutions to acquire and prepare data;
— Create and maintain data pipelines to connect data within and between data stores, applications, and organizations;
— Monitor application of data standards and architectures, including security and compliance;
— Carry out complex data quality checking and remediation.

Benefits we offer:
— Stable working environment where you can develop and grow your skills;
— Career opportunities within a multi-national company;
— Highly competitive salaries;
— High-growth career path with a rising company;
— A supportive team that values your input and suggestions and is fun to work with;
— Health insurance coverage;
— Nice office with heating, air-conditioning, break rooms, snacks and espresso machine;
— Car parking available;
— Fun company-sponsored events and activities;
— Paid training days;
— Paid vacation days;
— Paid sick days;
— Work Visa Sponsorship and relocation packages available for certain positions.

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Never put off until tomorrow what you can do the day after tomorrow.

Iryna V. HR manager

Iryna V. HR manager

Never put off until tomorrow what you can do the day after tomorrow.