EDUCATION AND EXPERIENCE QUALIFICATION

• Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience
• Around 5+ years of experience as a developer on cloud technologies
• Any AWS and/or Databricks certification will be a plus

SKILL SETS REQUIRED

• Good decision-making and problem solving skills
• Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse).
• Knowledge on medallion architecture, DLT and unity catalog within Databricks.
• 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
  Job Type: Full-time
  Pay: $112,198.00 - $123,105.00 per year

Schedule:

• 8 hour shift
• Day shift

Ability to Commute:

• Princeton, NJ 08540 (Required)

Ability to Relocate:

• Princeton, NJ 08540: Relocate before starting work (Required)

Work Location: In perso

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 also cost-effective migration strategies
• Develop Data Engineering and ML pipelines in Databricks and different AWS services, including S3, EC2, API, RDS, Kinesis/Kafka and Lambda to build serverless applications
• Work jointly with the IT team and other departments to migrate data engineering and ML applications to Databricks/AWS
• Comfortable to work on tight timelines, when required.