Junior Data Engineer

As a data engineer you need to design and build systems for collecting, storing, and analyzing data at scale. Here, we are using modern and lesser-known tools, software and libraries, so you need to be open to learning and flexible enough to catch up. 

Responsibilities:

• Designing and building systems for collecting, storing, and analyzing data at scale
• Acquire datasets that align with business needs
• Collecting data from different data sources, including XML files, JSON files, REST APIs, NBI, etc.
• Develop algorithms to transform data into useful, actionable information
• Build, test, and maintain ETL/ELT pipeline architectures
• Collaborate with management to understand company objectives
• Create new data validation methods and data analysis tools
• Ensure compliance with data governance and security policies
• General Skills: 
• ​Python 
• Debian based Linux distros
• Git
• Docker
• Docker-Compose
• Coding best practices
• Experienced with code reviews and pull request.
• English language proficiency

Special Skills:

• Python data wrangling libraries (pandas, numpy, etc.) 
• Python multi-tasking paradigms and libraries
• Python ORM specially SQLAlchemy
• PostgreSQL
• Apache Airflow 
• NoSQL databases (experience with at least one column-based DB is required)

Additional Skills: 

• Experience managing and working with Clickhouse is a big plus. 
• Experience with at least one graph database is a plus.