Position: Data Engineer
Company: Boosty Labs
Category: Data Science
Experience required: 3y
English level: upper

The role is to work as a Data Engineer to participate in the front to back design, development, testing, and production support of associated projects and initiatives. The role will require working closely with the development, business analyst, and product teams in the delivery of enhancements as requested by the line of business. The candidate will specifically be involved in the development of processes and tooling for generation of product reference data, supporting subsequent data quality routines. The role has a large element of interfacing with a variety of internal and vendor source feeds.

**Required**

- 3+ years in full stack development with a particular emphasis on Python
- Strong knowledge of UNIX/Linux platforms and tooling
- Experience with data lakes and designing and maintaining data solutions using Spark and AWS serverless services such as Kinesis, Lambda, or SQS
- Have expertise in data persistence solutions, and experience with the latest - NoSQL database itechnologies, and experience with building complex SQL queries using various (NoSQL or RDBMS) databases such as MongoDB or DB2
- Hands on experience in software engineering with object-oriented design, coding and testing patterns on large-scale data infrastructures
- Experience in Agile development methodologies and collaborate effectively with multi-disciplinary teams

**Preferred**

- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Familiar with big data solutions with experience on Hadoop based technologies such as MapReduce, Hive MongoDB or Cassandra.
- Experience in financial industry, especially in cryptocurrency industry
- Candidates must possess a bachelor’s degree in information technology, mathematics, computer science. Masters degree is preferred.