Position: Data Engineer
Company: Uuusoftware
Category: Data Engineer
Experience required: 3y
English level: upper

Salary per month 4000$-6000$
Work mode: 8 hours per day, 5 days per week.
Duration: 6 months, with possible extensions.

Data Engineer to join our growing Data team. You will be responsible for building various Data engineering pipelines and systems for our data-driven products. As part of a rapidly growing team, you will have a unique opportunity to be a key contributor. The Data team works with cutting-edge technology building data driven. 

**Essential responsibilities/expectations include (not exhaustive):**
Design, develop and modify data pipelines to support the data collection, processing, and ETL requirements  
Perform data cleaning, data analysis, data research, building data pipelines, and performing ETL and data manipulation 
Participate in sprint planning and backlog grooming for application/integration development.
Understand and implement data engineering best practices
Create back-end code that interfaces with different applications and its core components
Debugging and testing
Focus on software quality and put a high priority on maintaining high standards on your team
Participate in code and document reviews
Participate in knowledge transfer to mentor & build the data engineering team

**WHAT WE ARE LOOKING FOR:** 					
3-5 years designing and developing data pipelines for enterprise software products
Solid experience in the Python programming language
Understanding and experience with Database systems (SQL and NoSQL) 
Understanding and experience with Data warehousing and ETL tools  
Familiar with Data Science workflows
Basic understanding of distributed data systems and enterprise architectures
Knowledge of algorithms and data structures
Familiarity with the Amazon Web Services product suite for data engineering
Familiarity with Web Indexing technologies

**TECH STACK:**
Python, Docker, Postgres
AWS data and database products including AWS Neptune and AWS 
MongoDB, REST, GraphQL, SOAP
SQL / NoSQL tools
Basic Data visualization/analysis tools
NATS, Git, Jira, Apify