Databricks Engineer
Khusaal UpretiUnited StatesSENIORPosted 1h ago
DatabricksETLPythonSQLApache SparkPySparkAWSS3GlueAthenaLambdaStep FunctionsEventBridgeData LakeMedallion ArchitectureGitGitHub ActionsCI/CDCloudFormationTerraformDimensional data modelingDistributed data processingDelta LakeApache IcebergAirflowKafkaKinesisSageMakerAI/ML
About the Role
We are seeking a Databricks Engineer for a long-term contract position. This role involves building ETL pipelines using Databricks and working with various AWS services.
Key Responsibilities
• Build and maintain ETL pipelines using Databricks
• Work with AWS services including S3, Glue, Athena, Lambda, Step Functions, and EventBridge
• Implement Data Lake concepts and Medallion Architecture
• Develop CI/CD pipelines using Git, GitHub Actions
• Design dimensional data models and process distributed data
• Manage stakeholder communications
Requirements
• 5–7+ years of enterprise Data Engineering experience
• Strong hands-on experience building ETL pipelines using Databricks
• Advanced Python, SQL, Apache Spark, and PySpark skills
• Experience with AWS services: S3, Glue, Athena, Lambda, Step Functions, and EventBridge
• Knowledge of Data Lake concepts and Medallion Architecture
• Proficiency with Git, GitHub Actions, and CI/CD pipelines
• Experience with CloudFormation or Terraform
• Dimensional data modeling and distributed data processing skills
• Excellent communication and stakeholder management skills
Important Requirements
• Candidates must have real, hands-on experience building ETL pipelines using Databricks
• Mandatory ID verification (IDV) is required
• The screening process includes a Solutions Screening
• An onsite, face-to-face interview in Malvern, PA is mandatory