Data Engineer (AI-driven productivity score platform) (вакансія неактивна)

•‎ 4+ years of experience as a Data Engineer.
•‎ 3+ years of programming experience with Python
•‎ 1+ years of experience with AWS: EC2, S3, RDS
•‎ Hands-on experience on SQL and NoSQL (MongoDB) databases is a must.
•‎ Demonstrated Analytical ability, results-oriented environment with external customer interaction.
•‎ English level: Upper-Intermediate
•‎ Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.

•‎ Bachelor’s degree in Computer Science, Engineering, Operations Research, Math, or related discipline.
•‎ Understanding of data warehousing, data modeling concept and building new DW tables
•‎ AWS experience with Databricks, Spark, EMR, RDS, Redshift, Athena and/or Glue
•‎ Statistics knowledge and hypothesis testing experience
•‎ Fluency in data analysis and communication around data, including time series analysis

•‎ A strong friendly team
•‎ Modern technologies
•‎ Good quality of the codebase: we use unit testing, linters and code reviews
•‎ The project brings innovation
•‎ Enterprise-level customers
•‎ Technical challenges

•‎ Analyze and handle raw client data from CRM/ERP systems (like SalesForce, SAP, Oracle, etc.) and other activity logs of 3rd party systems
•‎ Design, development, and maintenance of data pipelines to prepare datasets for the data science team using Python
•‎ Handle results of machine learning for data presentation on the web portal
•‎ Generate synthetic data to test operability and performance of all parts of the system
•‎ Working with Data Scientists to set up continuous data processing

Use your knowledge to build a complex cutting-edge product while working with highly-skilled and experienced team members in a collaborative and friendly atmosphere. Design, code, configure, and document components that manage data ingestion, real-time streaming, batch processing, data extraction, and transformation.

This project is bringing a revolution to this field with its cutting-edge AI core 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.