Data Engineer8 monthsSeattle WA Responsibilities: • Design, architect, implement and support Core financial datasets that provide structured and timely access to relevant business information • Provide solution leadership in all aspects of data platform ecosystem, ensuring end-to-end performance, scalability, and resilience of code, components, and processes. • Design and develop data validation framework to automate assurance of data quality metrics from source to target data stores • Support our software developers, database architects, data analysts and data scientists on data initiatives to ensure optimal data delivery architecture.
Top 3 desired skill sets: Strong analytic skills related to working with unstructured & semi-structured datasets, along with experience in Hadoop, MPP DB platform, and streaming technologies Experience in developing & optimizing data pipelines using Apache Spark & Other ETL/ELT Solutions within the context of AWS Cloud implementations Extensive experience/knowledge in designing and implementing solutions to ensure all aspects of data quality, ideally within financial data domain
Previous experience desired: 7+ years of experience leading technical designs, mentoring developers, and helping to drive engineering maturity 5+ years' experience with detailed knowledge of Data Platform architectures, Data Engineering, and data security 4+ years of experience in building data pipelines in the cloud with tools like S3, Hadoop, Hive; working with Petabytes of data 3+ yrs of Object Oriented programming/scripting language experience (Java,Python,Scala etc.) Experience with financial ERP data preferred but not required (e.g. Oracle eBusiness Suite)