Data Engineer, W2 Only, No H1B, OPT, CPT

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Job Description

Role : Databrick Engineer

Location : Quincy, MA

Duration: Long Term Contract(W2 Only)

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