Senior Data Engineer
- Seattle, WA
- Permanent
- Full-time
The ideal candidate will have strong experiences in Python, PySpark, Databricks, Cloud, Containerization, Data Streaming, and Agile/Scrum.Required Skills -Data Engineering with Python & PySpark, Databricks, Containers, Cloud, Automated testing, AgileJob Duties -Be an active participant in all scrum ceremonies and lead in the delivery of the strategic roadmap.Responsible for the full application development lifecycle and support.Provide subject matter expertise and direction, guidance, and support on complex engagements.Collaborate with the Architecture team, Product team, Development team and other Information Technology (IT) team. Initiates process improvements for new and existing systems.Design, build, and maintain scalable and efficient data pipelines using Python and PySpark.Develop and optimize ETL/ELT processes to ingest, transform, and load large datasets from various sources.Implement data quality checks and monitoring to ensure the accuracy and integrity of our data.Job Requirements -7+ years of Data/Software Engineering experience5+ years hands-on development experience in Python and PySpark for large-scale data processing4+ years' experience with Containers (Docker and orchestration, ie: Kubernetes or EKS or Redhat)4+ years' experience with test automation5+ years' experience working with SQL & NoSql databasesExperience with version control systems, such as GitWork experience in a complex enterprise application delivery, using agile development methodologyBachelor's in computer science or equivalent work experienceThe following would all be a plus:JavaSpring BootKafkaCassandraElastic Search