Senior Data Engineer 

We are looking for a savvy Data Engineer to join our growing team of engineering experts. The hire 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. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. 
 

Experience / Skills required: 

Must have: 

• 4+ years as Data Engineer 
• Bachelor’s degree in Computer Science, Engineering, or a related field 
• Good grasp of Python 
• Ability to create pipelines between systems using ksqlDB, SCLA or Python 
• Experience working with Synthetic Data, Familiar with Machine Learning algorithm such as logistics regression, CNN, K-nearest neighbors and LLM Concepts 
• Upper-Intermediate English and better 

Good to have: 

• Experience with NVIDIA is a plus 

Responsibilities: 

• Analyze and organize raw data  
• Build data systems and pipelines 
• Evaluate business needs and objectives 
• Interpret trends and patterns 
• Conduct complex data analysis and report on results  
• Prepare data for prescriptive and predictive modeling 
• Build algorithms and prototypes 
• Combine raw information from different sources 
• Explore ways to enhance data quality and reliability 
• Identify opportunities for data acquisition 
• Develop analytical tools and programs 
• Collaborate with data scientists and architects on several projects 

We offer:  

• Competitive salary 
• Flexible working schedule, fully remote work opportunities 
• Taxes compensations 
• Vacation (up to 20 working days) 
• Paid sick leaves (10 working days) 
• Medical Insurance after probation period (3 months)  
• Online English courses 
• Direct cooperation with the customer 
• Great working environment and team spirit