Data Engineer, Fintech Solutions

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.

About the vacancy

DataArt’s client is a US-based firm focused on mortgage loans and services around it.

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

Learn more about our policy of equal opportunities in employment

About DataArt

DataArt с 1997 года проектирует, разрабатывает, модернизирует и поддерживает IT-решения в области финансов, здравоохранения, телекома, туризма, медиа и интернета вещей.

Клиенты DataArt — компании с уникальными бизнес-моделями — находятся в США и Великобритании, а распределенные команды специалистов — в центрах разработки в России, Украине, Польше, Аргентине и Болгарии.

Company website:
https://dataart.ua

DOU company page:
https://jobs.dou.ua/companies/dataart/