Data Engineer
- Role
- Data Engineering
- Experience
- Mid
- Employment
- Full-time
Open to UA only. Set where you work from to check your eligibility.
No BS summary
Ищем Data Engineer с 2+ годами опыта работы на Python и в роли Data Engineer. Требуется опыт работы с Pandas, SQL/NoSQL (Redis, Mongo, Elasticsearch, BigQuery) и Kafka. Обязательное знание алгоритмов и структур данных. Зарплата фиксирована в USD.
Core skills
Required skills
Optional skills
Required languages
Dataforest All job openings Data Engineer [0807] Ukraine 1-3 years of experience Full-time, Remote work English - Intermediate (B1) Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV. You'll be a great fit if you have:
- 2+ years of experience with Python;
- 2+ years of experience as a Data Engineer;
- Experience with Pandas;
- Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
- Familiarity with Amazon Web Services;
- Experience with Kafka;
- Knowledge of data algorithms and data structures is a MUST;
- Working with high volume tables 10m+.
What you'll do:
- Create ETL pipelines and data management solutions (API, Integration logic);
- Different data processing algorithms;
- Involvement in creation of forecasting, recommendation, and classification models.
Would be a plus:
- Experience with Spark (pyspark);
- Experience with Airflow;
- Experience in statistics;
- Knowledge of DS and Machine learning algorithms.
We ensure your growth with:
- 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;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.
Job opening description Fill in the form 🇺🇸 English
What you'll do
- Create ETL pipelines and data management solutions (API, Integration logic)
- Different data processing algorithms
- Involvement in creation of forecasting, recommendation, and classification models
What they require
- 2+ years of experience with Python
- 2+ years of experience as a Data Engineer
- Experience with Pandas
- Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery
- Familiarity with Amazon Web Services
- Experience with Kafka
- Knowledge of data algorithms and data structures is a MUST
- Working with high volume tables 10m+
Benefits
- Great networking opportunities with international clients
- Building interesting projects from scratch using new technologies
- Personal and professional development opportunities
- Competitive salary fixed in USD
- Paid vacation and sick leaves
- Flexible work schedule
- Friendly working environment with minimal hierarchy
- Team building activities, corporate events
We ensure your growth with: Competitive salary fixed in USD, Flexible working schedule and fully remote work format, Paid vacation days and sick leave days, Personal and professional development opportunities, Participation in building innovative projects from scratch using modern technologies, Team-building activities and corporate events, English classes and educational events.