Position: Data Engineer
Company: Dataessential
Category: Data Science
Experience required: 2y
English level: upper

**About Datassential**

Datassential is a leading market research firm for the food industry, combining research with expert insights from a team of creative, inquisitive problem-solvers and food lovers. Datassential is a full-service firm offering both syndicated and custom research solutions to a number of Fortune 500 clients. Datassential also has the largest and most accurate menu database in the marketplace today. The company head office is in Chicago, State of Illinois.

**Desired skills:**
- 2+ years of experience
- Expert in SQL and able to write structured and efficient queries on large data sets
- Practical experience with Python
- Experience with BI tools (Looker is a big plus, Tableau, Pentaho)
- Experience with ETL tools such as Airflow
- Experience with Snowflake Data Cloud / Data Warehouse or similar (e.g. Redshift, Big Query, etc.)
- Experience working in git workflows
- Excellent communication skills to work with stakeholders to translate business needs and ideas into clearly defined data models and SQL queries
- Upper-Intermediate level of English
 
**Responsibilities:**
- Data transformation, enriching of data with new features
- Research, patterns identification and formulating insights
- End-to-end data flows checks
- Data issues investigation
- Extension of ETL processes
- Incorporate automation wherever possible to improve access to data and analyses
- Performance optimization
- Document work, prioritize data governance, and evangelize best practices
 
**The company offers you:**
- Competitive salary with regular revisions
- Long-term employment with paid vacation and other social benefits
- Direct contract with US company
- Medical insurance
- Career and professional growth
- Possibility to work on interesting projects
- Coaching sessions to help you reach your goals;
- Attendance at Ukrainian and international conferences and events.