Data Engineer Databricks

Overview

On Site
$50 - $50
Contract - W2

Skills

Databricks
ETL
ELT
SQL
Data pipelines
Data Frames
Scala
Spark
Notebooks
Pyspark
Azure cloud

Job Details

Job Title: Data Engineer Databricks

Location: Boston, MA - onsite 4 days (LOCAL CANDIDATES ONLY!)

Duration: 6 months

Rate: $50/hr

Digital : Microsoft Azure~Digital : Scala~Digital : Databricks~Digital : PySpark~PL/SQL

  • Must have at least 8+ years of extensive Data Engineering Experience in Databricks, ETL/ELT using Data pipelines, SQL/Procedure experience.
  • Must have 8+ Years of hands-on development proficiency in implementing Databricks solutions using Scala and Spark with Data frames and Notebooks/SQL.
  • Must have 8+ Years of hands-on development and performance tuning/enhancement experience in Scala/PySpark and SQL.
  • Must have 8+ Years of hands-on development experience in working on Azure Cloud.
  • Must have strong experience with Databricks, including developing and optimizing Spark jobs, data transformations, and data processing workflows.
  • Must have experience and a good understanding on the below topics
  • Databricks Delta Lake storage
  • Unity Catalog
  • Autoloader
  • Lakehouse Architecture
  • Medallion Architecture
  • Databricks Serverless Options.
  • Dataset and Data frame
  • Databricks Clusters Configuration and Sizing
  • Databricks Job Orchestration
  • Spark Structured Streaming
  • Must have experience with complex and large volume data streaming and data transformations using Azure Databricks.
  • Must have extensive experience in Datawarehouse/Data Lakehouse implementations.
  • Must have experience with monitoring, debugging, and resolving issues in live Databricks jobs.
  • Must have strong hands-on expertise in troubleshooting DevOps pipelines, Azure, and AKS services
  • The candidate should be able to provide Data Ingestion, Streaming and Transformations solutions and do development work.
  • Experience in Apache Big Data implementations with programming proficiency like PySpark, R or Java prior to Databricks is advantageous.
  • Good to have experience with containerization technologies such as Docker and Kubernetes.
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