Data Engineer (Hybrid Onsite - W2 Contract)

Job Title : Data Engineer

Location: Quincy, MA (3 days a week Hybrid onsite)

Duration : Long term contract

Contract: W2

Job Description:

Key Skills: Python/Pyspark, Spark, Scala, Databricks, AWS.

Education and experience Qualification
Bachelors 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