Databricks Data Engineer

Title: Databricks Data EngineerLocation: Deerfield, IL (Onsite)Duration: Full TimeVideo InterviewsExperience Required: 6-8 yearsJob DescriptionMust have : Azure data bricks, Scala is MUSTMandatory skills: Databricks, Spark, Azure, Python, Cosmos DB, Azure DevOps (GitHub, CI/CD pipelines, Boards etc.), Docker & Azure Kubernetes Service, Graffana, JUnit, Postman, SonarQubeAdditional Skills: 3 6 years of experience in data engineering on cloud data platforms. Hands on experience building Spark jobs with Scala/Spark and/or PySpark on Databricks. Experience ingesting data from batch and streaming sources into ADLS Gen2 using Delta or Apache Iceberg tables. Good SQL skills for joins, aggregations, and data quality checks. Understanding of core Azure data services (Event Hubs/Kafka, Data Factory/Databricks Workflows, Key Vault). Experience working with Git based workflows and CI/CD in Azure DevOps or GitHub.Good to have skills: Exposure to Spark Structured Streaming for near real time use cases. Experience with data quality tools or frameworks and writing unit/integration tests for data pipelines. Familiarity with data modeling and performance considerations in Lakehouse environments.Roles & ResponsibilitiesResponsible for building data products in Databricks using Scala/SparkResponsible for Ops work managing production for the data products developed and deployed to productionResponsible for testing data products based on product specification and end to end validationSet up monitoring, logging, and alerting Spark jobs and data pipelines using Azure Monitor/Log Analytics or similar toolsCoordinate with offshore team in India