Data Engineer

• Discover, analyze and assemble large, complex data sets to meet functional and non-functional business requirements.
• Build ETL pipelines for diverse data sources using SQL and Python in an AWS environment.
• Work with stakeholders (Executive, Product, Engineering) to assist with data-related technical issues and support data needs.
• Develop data tools for business departments to build and optimize products.
• Maintain and optimize existing data models and data architecture.
• Build processes supporting data transformation, metadata, dependencies and workload management.
• Perform root cause analysis on data and processes to answer business questions and identify improvements.
• Predict and validate performance for significant scale increases and manage bottlenecks in advance.

Senior Data Engineer

Data Engineer

Data Engineer II

Senior Data Engineer

Lead Data Engineer

Lead Data Engineer