Senior Data EngineerOur client is seeking a top-tier Senior Data Engineer to join their engineering team. The team supports various mid-layer services across the organization and to external partners and is seeking a strong Data Engineer with cloud experience to work with Customer data. The ideal candidate will have strong experiences in Python, PySpark, Databricks, Cloud, Containerization, Data Streaming, and Agile/Scrum.Job 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 Requirements7+ 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 experienceDesired Skills & ExperienceThe following would all be a plus: Java Spring Boot Kafka Cassandra Elastic Search