Overview
Skills
Job Details
Job Title : AWS Databricks Data Engineer
Location: Quincy, MA (3- 4 days a week Hybrid onsite)
Duration : Long term contract
Contract: W2 / C2C IC (Own Individual corp only)
Job Description:
Roles & Responsibilities
Recognize the current application infrastructure and suggest new concepts to improve performance
Document the best practices and strategies associated with application deployment and infrastructure support
Produce reusable, efficient, and scalable programs, and cost-effective migration strategies
Develop Data Engineering and Machine Learning pipelines in Databricks and different AWS services, including S3, EC2, API, RDS, Kinesis/Kafka and Lambda.
Work jointly with the IT team and other departments to migrate data engineering and Machine Learning applications to Databricks/AWS
Comfortable to work on tight timelines, when required.
Skill Sets Required
Good decision-making and problem-solving skills
Solid understanding of Databricks fundamentals/architecture and have hands on experience in Databricks modules (Data Engineering, Machine Learning and SQL warehouse).
Knowledge of medallion architecture, DLT and unity catalog within Databricks.
Knowledge of Machine learning model development process.
Experience in migrating data from on-prem Hadoop to Databricks/AWS
Understanding of core AWS services, uses, and AWS architecture best practices
Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc.
Solid knowledge on Airflow
Solid knowledge on CI/CD pipeline in AWS technologies
Application migration of RDBMS, java/python applications, model code, elastic etc.
Solid programming background on scala, python
Experience with Docker and Kubernetes is a plus