Description

Experience: 6-8 years
4 years experience with Python (PySpark, Pandas), or Java
4 years experience with designing scalable ETL pipelines & data modeling
4 years experience developing, deploying, and maintaining large scale applications with complex integration
4 years experience reading, writing, and running SQL scripts.
Working experience with data technologies and databases, preferably in one or more of: Postgres, MSSQL, Oracle DB, Apache Spark, Apache Kafka, Apache ElasticSearch, comfortable working with large datasets
Working experience with data platforms: DataBricks or Snowflake
Working experience with cloud platforms (Azure/GCP)
Working experience with workflow orchestration tool such as Airflow or Data Factory
Working experience with Web Services & API
Hands-on experience with DevOps: CI/CD (Jenkins, Git)
Experience working in an Agile environment, with experience and understanding of Test-Driven Development methodology.
Bachelor s degree in computer science, Engineering or relevant experience.


Preferred Qualifications (Nice to have)
- Understanding of networking protocols and security principles
- Capital Markets product knowledge
- Dockers, Kubernetes experience
- Experience working with real-time, high availability and low latency systems
- Experience in multi-threaded applications

Key Skills

Education

Bachelor's degree