Position: Senior Data Engineer
Company: Recognyte
Category: Data Science
Experience required: 3y
English level: intermediate

You Have:

•	2-3 years commercial experience as Data Engineer 
•	Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data
•	Experience working with SQL and relational databases (i.e. PostgreSQL)
•	Experience with integration of data from multiple data sources
•	Analytical and problem-solving skills, applied to Big Data domain
•	Previous proficiency with ETL technologies
•	Experience working with Cloud-based data tools and storage (i.e., Google Cloud Platform)
•	Good Knowledge of programming languages to manipulate large datasets (Python, GoLang)
•	Understanding of Agile Scrum development methodology
•	People skills required to work with Data Scientists, Front-End Developers and Machine Learning Engineers as well as product owners and designers.
•	Self-motivated and yearn for making an impact through your skills and determination
•	Strong organisational skills and ability to judge priorities

You might also have:

•	Experience in creating Data pipelines for ML micro-services
•	Experience of Google Cloud Platform
•	Self-motivated, able to work independently and organise own workload
•	Ability to work accurately, with attention to detail