Interview Process: 2 in -person interviews and an online assessment Define and implement a Data Lake reference architecture on AWS. Define the data pipeline and ingestion workflow, incorporating AI modeling from different data sources and types, including voice recordings. Design and build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Experience with AWS cloud services: EC2, Lake Formation, Athena, Glue, Redshift Spectrum, S3 Storage, IAM, and KMS.