Position: Data Engineer
Company: SSA Group
Category: Data Science
Experience required: 3y
English level: upper

**Required skills**

• ‎ 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.

**As a plus**

• ‎ 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

**We offer**

• ‎ 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

**Responsibilities**

•  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
• Work in close collaboration with Product Owner
• Collaborate with Data Engineer and Data Scientists to strive for greater functionality in data systems
• Follow best practices in software development
• Maintain documentation and test coverage

**Project description**

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.