Responsibilities:
· Design, build and operationalize large scale enterprise data solutions and applications, using one or more of AWS data and analytics services: DynamoDB, RedShift, Kinesis, Lambda, Glue.
· Design and build production data pipelines from ingestion to consumption within a big data architecture
· Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming
· Build real time data ingestion, and dashboards.
Professional Experience & Qualifications:
· At least 2-year experience with AWS cloud data services: S3, RDS, Redshift, DMS, DynamoDb
· Experience with stream-processing systems like Kinesis and Kafka
· Proven experience with advanced usage of Redis data structures.
· Development experience in typescript or python
· Familiarity with Cloud Formation, Terraform or CDK
· Experience in EMR, Spark (advantage)
Advantages:
· Certified on AWS Certified Big Data – Specialty
· Previous familiarity and experience in the healthcare domain and certifications (HIPAA)
· Previous experience in a startup company – a huge plus
· Experience in typescript development