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Databrick Engineer

Salary undisclosed

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Hi,


Hope you are doing well?

I am looking for a candidate with experience as Databrick Engineer.

Role: Databrick Engineer

Location: Quincy, MA

Duration: Long term

Must be on our W2

Key skill- Databrick, AWS, Pyspark, Scala,

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

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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