Senior Data Engineer for AI-Driven Productivity Platform
Podcast
The Head of the Data & Desktop Department and Lead BDM talk about the project goals, team structure, technology stack and candidate requirements.
Join SSA Group team working on an AI-powered productivity platform that enhances work efficiency and empowers employees, teams, and executives with real-time productivity awareness and actionable recommendations to unleash the potential for optimization and growth.
Project
The project’s core is the cutting-edge AI that provides the world’s first standardized productivity score, determines optimal work patterns, identifies which actions most positively impact team productivity growth, and makes personalized, prioritized AI-driven recommendations.
The project caught the attention of Forbes and has been recognized as a Sample Vendor in the Gartner Report.
Technology Stack
- Python, Pandas, NumPy
- AWS: S3, Data Pipelines, Athena
- Apache SuperSet
Team
CTO, AI team of 2 Data Scientists, Data Engineer and Fullstack Developer
Candidate Requirements
- 5+ years of experience in a data engineering role
- Bachelor’s degree in relevant field
- Experience with data science in Python using Pandas, NumPy, Dask, and other data analysis libraries
- Use of data quality tools such as Great Expectations
- Experience working on Data Pipelines on AWS (Data Pipelines, S3, Athena)
Will Be a Plus
- Machine learning related Python libraries (TensorFlow, PyTorch, Scikit-learn)
- Team Leading experience
Responsibilities
- Assemble large, complex data sets for processing by proprietary machine learning algorithms
- Perform all duties related to a data pipeline: ingestion, normalization, structuring, cleansing, validation, storage
- Write library code as well as custom code specific to a customer’s implementation
- Maintain a consistent process allowing for standardization across many customers’ data pipelines
- Communication with CTO, backend and AI teams
Project Benefits
- The project brings innovation- AI core that provides the world’s first standardized productivity score
- Good quality of the codebase: we use unit testing, linters and code reviews
- Technical challenges
Work mode
Office Location
Do you have any questions?
Contact Maksym if you want to know more. We will be happy to help you!