Position: Data Engineer, Fintech Solutions
Company: DataArt
Experience required: 2y
English level: intermediate

Our client has a vast IT systems landscape with multiple data sources. DataArt was engaged to support the client in expanding the existing and building new parts of the data processing platform.

We’re looking for a Data Engineer who will work on building and maintaining ETL pipelines using 3-rd party API solutions and AWS S3 buckets.

DataArt is building a team of 2 data engineers, client will provide guidance and supervise the delivery process.

Opportunities for candidates:

•  Solidify knowledge of AWS

•  Get sponsorship from DataArt on AWS certifications

•  Team lead/architect opportunities in Cloud Data & Analytics, Machine Learning

Must have
- 2+ years of experience working as Data Engineer
- Practical experience in Python
- Practical experience with MS SQL and SSIS
- Experience in AWS (creating Lambdas, working with S3 and Athena)
- Good critical thinking and proven problem-solving abilities, proactive work approach
- Good spoken English

Would be a plus
- Practical experience with (some of) big data technologies (Hadoop, Spark, Hive/Glue, DataBrew)
- Experience with Big Data solutions
- Experience with AL/ML
- Experience with PySpark