We are looking for bright and talented Junior Data Engineers to join our dynamic team here at LENA.
As a Junior Data Engineer, you will be responsible for building systems that will collect, manage, and convert raw data into usable information for analysis.
Tasks May Include
- Designing, preparing, and programming data engineering workflows from multiple data sources for front-end, analytics, and storage requirements;
- Transforming existing data structures for efficient analytical workflows;
- Accessing and scraping data from various structured and unstructured data sources; and
- Collaborating closely with partners and customers to understand their data, design data structures, and provide functionality that is beneficial to the project.
As part of a new team, you will help lay the culture and technical foundation for the team. You will enjoy growth opportunities working alongside a team that encourages intellectual excitement and a startup working environment. You will have the opportunity to bring your skills to the next level and acquire new ones along the way.
Minimum Qualifications
- Completed Bachelor's degree in a relevant course
- Strong problem-solving skills with an emphasis on product development
- Familiarity on batch processing, stream processing, data workflow, ETL pipelines, data storage, database modeling, data warehouse
- Proficiency in Python or other object-oriented programming languages
- Experience with DevOps
- Strong engineering mindset
- Experience/Knowledge on the following is an advantage:
- Applications used for the role (i.e. ETL Solutions, Cloud Services, etc.)
- Certain languages and framework (i.e. SQL, NoSQL, Python, Hadoop, Spark, APIs, REST, etc.)
- Data Structures (i.e. Hash Indexes, SSTables, LSM-Trees, B-Trees, etc.)
- OLTP and OLAP
- Column-Oriented Storages
- Distributed Data Systems
- System Design
- Event-Driven Architecture
- Statistical and mathematical techniques to solve business problems using Python
- Working with large data sets, analyzing data, and data reports and visualization
