Sr. Data Engineer (Databricks, PySpark Scala, Bigdata.)

Overview

On Site
Hybrid
Depends on Experience
Contract - W2
Contract - Independent

Skills

Databricks
PySparkv Scala
Bigdata
AWS
Airflow
CI/CD

Job Details

Data Engineer

Key Skills: Databricks, PySpark Scala, Bigdata.

Location : North Quincy MA - Hybrid Onsite

Skill Sets Required

  • Must have over 10 years of experience in Data engineering.
  • 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 and SQL warehouse).
  • Solid 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, Opensearch etc.
  • Solid programming background on scala and/or python with Spark
  • Experience with Docker and Kubernetes is a plus
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