Senior Data Engineer

Job Description

• Designing and managing the ETL process workflows • Modeling lake house data in all stages • Coding transformation logic by writing reusable code and modules • Developing QA strategies for data ingestion and transformation processes • Defining and implementing standards for data cleansing and masking • Working with business users' requirements to deliver data usable across the organization • Defining and implementing security standards into the data lake. • Experience in production level warehouse design with high volume near real-time ingestion and reporting • A successful history of manipulating, processing, and extracting value from large, disconnected datasets • Hands-on experience tuning ETL processes and warehouse databases such as RedShift • The ability to communicate and collaborate effectively with Product Owners, Developers, QA, Operations, and Security Engineers

Qualifications

• 5+ years of Data Lake and Warehouse experience • Experience with source control and/or CICD pipelines • Production experience with AWS infrastructure • Proficiency with Scala, Python, and SQL

Benefits

• generous health benefits • Tuition reimbursement • Wellness allowance • Paid volunteer time off • Matching 401K plan