Middle Data Engineer

We are looking for a Data Engineers who love data and lots of it, and enjoys working with Python, PySpark/Databricks etc.
At Dataforest, we are actively seeking Data Engineers of all experience levels.
If you're ready to take on a challenge and join our team, please send us your resume.
We will review it and discussing potential opportunities with you.

Skills requirements:
• 1,5+ years of experience as a Data Engineer;
• 1.5+ years of experience with Python;
• Experience with Pyspark or Databricks;
• Experience with SQL and NoSQL;
• Knowledge of cloud solutions: AWS, GCP, Azure;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark;
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms.

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

We offer:
• Great networking opportunities with international clients, challenging tasks;
• Building interesting projects from scratch using new technologies;
• Personal and professional development opportunities;
• Competitive salary fixed in USD;
• Paid vacation and sick leaves, medical insurance;
• Flexible work schedule;
• Friendly working environment with minimal hierarchy;
• Team building activities, corporate events.

About Dataforest

Dataforest - helps companies use data to drive decisions. We apply Data Science techniques combined with expertise in business automation, large-scale data analysis and advanced software engineering to improve performance outcomes for organizations and create added value to their clients and shareholders.

Company website:
http://dataforest.ai

DOU company page:
https://jobs.dou.ua/companies/dataforest/