Data Engineer

We’re expanding our team and looking for a skilled Data Engineer who will accomplish a team for our American client.  

We're looking for a specialist with solid experience and understanding of big data technologies. In this role, you will be responsible for ingesting a high volume and variety of enterprise-level data and transforming it into outputs to accelerate decision-making.  
 
Requirements: 
 

• BS+ in computer science or equivalent experience;
• 3+ years of experience in Data Engineering; 
• 3+ years of experience with Python;
• Strong experience with AWS stack: Glue, Athena, EMR Serverless, Kinesis, Redshift, Lambda, Step Functions, Data Migration Service (DMS); 
• Experience with Spark, PySpark, Iceberg, Delta lake, Aurora DB, DynamoDB. 

Nice to have:  
 

• Data modeling and managing data transformation jobs with high volume and timing requirements experience; 
• AWS CodePipeline, Beanstalk, Azure DevOps,  Cloud Formation; 
• Profound skill to collaborate with cross functional teams, including communicating effectively with people of varying levels of technical knowledge; 
• Readiness to learn new technologies. 

Responsibilities: 
 

• Setting up data imports from external data sources (DB, CSV, API); 
• Building highly scalable pipelines to process high-volume data for reporting and analytics consumption; 
• Designing data assets that support experimental and organizational processes, and are efficient and easy to work with; 
• Close cooperation with engineers, data scientists, product managers, and business teams to make sure data products are aligned with organizational needs. 

 
 
What we offer: 

• Paid training programs and English/Spanish language courses; 
• Medical insurance, sports program compensation, pet care and other benefits compensation program, which can be selected by each employee according to personal preferences; 
• Comfortable working hours; 
• Awesome team events and a wide variety of knowledge sharing opportunities.