Position: Data Engineer
Company: Riseapps
Experience required: 3y
English level: intermediate

**Responsibilities**
● Design and build effective, user-friendly infrastructure, tooling, and automation to accelerate Machine Learning
● Collaborate with ML teams to drive the data infrastructure roadmap
● Support company’s internal ML teams with MLOps best practices
● Build complex automated data pipelines for creating datasets for ML products, facilitate efficient data management
● Build data extraction & scraping pipelines for creating datasets from open web data
● Help establish standards, practices for managing ML teams’ data infrastructure
● Write clean and tested code that can be maintained and extended by fellow engineers

**Requirements**
● A strong predilection for good software and the processes that make it
● 3+ years of experience as a Data Engineer working in Python
● Good working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases
● A successful history of manipulating, processing, and extracting value from large datasets
● Experience building and optimizing data pipelines & architectures
● Strong analytical skills related to working with structured datasets
● 4+ years experience with AWS or other public cloud platforms (GCP, Azure, etc.) and corresponding data tools (e.g. AWS Athena, etc.)
●Excellent verbal and written communication skills for effective communication in a multicultural environment with teams spread throughout the world

**Nice to have**
● Experience managing and building data pipelines with private dumps of large knowledge bases such as Wikidata
● Experience with Big Data processing tools
● Experience with NLP and Machine Learning product development
● Familiarity with Knowledge Engineering, Graph technologies & Graphdatabases, Knowledge Graphs