All offersWrocławDataData Engineer
Data Engineer
Data
Proxet Poland

Data Engineer

Proxet Poland
Wrocław
Type of work
Undetermined
Experience
Senior
Employment Type
B2B, Permanent
Operating mode
Remote

Tech stack

    AWS
    advanced
    Python
    advanced
    Airflow
    regular
    Docker
    regular
    Kubernetes
    regular
    CircleCI
    regular

Job description

Online interview
Friendly offer
We are looking for a Data Engineer with big data experience who will be a significant part of creating a data platform for a new product. This is your chance to join a fast-growing and exciting company in the US and work fully remotely alongside other awesome engineers.

ABOUT PROJECT:
SaaSWorks is driving revenue performance for every Subscription and SaaS business—to democratize the data-driven insights and expertise required to build and manage these high-growth, high-value businesses.

SKILLS & EXPERIENCE:
  • Work experience with Python modules and Pandas library. 
  • Data engineering experience;
  • Experience working with 3rd party API services;
  • Clear understanding of ETL/ELT and data curation;
  • Strong experience and understanding of relational and distributed databases (including internals e.g., PostgreSQL, MySQL, etc.); 
  • Experience working with databases using pure SQL queries;
  • Strong experience with AWS (S3, Aurora Serverless, Glue/Athena) and Docker;
  • Strong Python expertise;
  • Hands-on experience with dbt;
  • Hands-on experience with Airflow/Prefect;
  • Experiences in OOP, Design Patterns, and design principles (SOLID, DRY, KISS, YAGNI);
  • Experience in using code linters such as Flake8 and Pylint;
  • Knowledge of PEP8 standard; 
  • Experience with continuous integration, test automation, and deployment;
  • Good written and spoken English;
  • Fluent Ukrainian.

NICE TO HAVE:
  • Experience with data monitoring and tracing in distributed and service-oriented systems;
  • Experience in distributed systems design and best practices;
  • Understanding of integration with BI tools (esp. Tableau);
  • Jenkins as CI tool and/or ETL orchestrator;
  • Javascript: Node.js + frontend part (ReactJS).