Data Engineer

Your role:

• You’ll develop, construct, test and maintain architectures (such as databases and large-scale processing systems)
• You’ll ensure that architecture will support the requirements of the business
• You’ll discover opportunities for data acquisition
• You’ll develop data set processes for data modeling, mining and production
• You’ll employ a variety of languages and tools (e.g. scripting languages) to marry systems together
• You’ll recommend ways to improve data reliability, efficiency and quality

What makes you a perfect fit:

• You have 3 years of experience as Data Engineer
• You think analytically and present strong critical thinking and creative problem solving skills
• You present business understanding of projects on advanced level
• You have experience with data understanding and data importing
• You have hands-on experience with data cleaning & manipulation
• You have excellent communication skills in English

Your profile:

• You have experience with Spark and Hadoop or corresponding cloud services like Azure Data Bricks, AWS EMR
• You are familiar with different databases SQL (ie. PostgreSQL), noSQL (ie. MongoDB) , Graph (ie. Neo4J), Timeseries (ie. Influx)
• You are experienced with stream processing, message queues (like Kafka or RabbitMQ)
• You are experienced in using data visualization techniques (either tools like PowerBI, Tableau or even better D3.js, Seaborn, Bokeh)
• You’ve had a chance to work with containers (for example Docker)

Nice to have:

• AWS, Azure or GCP experience
• ML Ops is a big plus
• Devops Experience