Senior Data Engineer (Work Remotely Anywhere in the U.S.)

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Requirements:

• Degree in Computer Engineering/Science or related field.
• 5+ years of professional experience in database/data lake development.
• Experience with various data sources, including Oracle, SQL, RDS, and NoSQL.
• 3+ years with AWS big data services such as Kinesis, Redshift, EMR, Athena, and Glue.
• Proficient with ETL and Data Warehouse/Lake processes.
• Strong experience with Python or Unix shell scripting.
• Experience in leading multiple sprint projects and Epics.
• Excellent verbal and written communication skills.

Responsibilities:

• Building fault tolerant cloud solutions for Data Engineering.
• Aggregate, organize and translate large amounts of data to meet business requirements.
• Develop and optimize data and data pipeline architecture and data flow.
• Design and build infrastructure for optimal data extraction, transformation, and loading.
• Implement data storage solutions in AWS.
• Partner with engineers and data scientists on data-driven solutions.
• Maintain existing data loads and streaming data.
• Research and develop data set processes.