Bigdata Databricks Architect

Job Title : Bigdata Databricks Architect

Client Location: Boston, MA (Hybrid 2-3 days a week onsite)

Duration : Long term contract

Education and experience Qualification

• Bachelor s degree in Computer Science, Information Systems, or equivalent education or work experience
• 8+ years of IT experience in big data space like Hadoop, data lake, data engineering using Python & Spark programming languages
• Any AWS and/or Databricks certification will be a plus

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.

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