Position: Data Engineer
Company: Taza
Experience required: 2y
English level: upper

**Responsibilities:
**
You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.
• Create and maintain optimal data pipeline architecture,
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Creating the qualified dataset for the business need such as Object detection task or Classification.
• Work with data and analytics, Computer Vision experts to strive for greater functionality in our data systems.

**Work requirements:
**
We are looking for someone in the fields of Computer Science, Information Systems, and Machine Learning.
• Experience with ETL in SQL and NoSQL data stores.
• Familiarity with AWS cloud providers.
• Experience in coding languages like R and Python.
• Hands-on experience in one or more of the areas for still images and videos processes.
• Experience in using auto labelling tools for imagery datasets and analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Familiarity with a range of data engineering approaches, covering theoretical best practices and the technical applications of these methods.
• Excellent communication skills with business intuition and ability to understand business systems, versatility and willingness to learn new technologies on the job.

**Good to have:
**• MS/PhD degree with 2+ years' relevant experience.
• Experience using automation best practices for CI/CD.
• Experience with best practices for development including query optimization.
• Familiarity with end-user visualization tools like Power BI.
• Hands-On experience with the AWS Stack, including computing services and data warehouses.