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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services. Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers.
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Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are.
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Implementation of CI/CD pipelines for Databricks using Azure DevOps. Development of robust orchestration layers in Databricks or Azure Data Factory (ADF). Experience in migrating native Spark workloads to Databricks platform.
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Proven expertise in AWS services (S3, Redshift, Glue, EMR, Lambda) and Databricks. If you are passionate about data engineering, have a strong background in AWS and Databricks, and thrive in a collaborative and innovative environment, we want to hear from you.
$146,400 - $175,100 a yearFull-timeExpandUpdated 2 days ago - UpvoteDownvoteShare Job
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Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database. As a Principal Data Engineer (Azure), you would have hands on experience working on Azure as cloud, Databricks and some exposure/experience on Data Modelling.
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Apply your skills with Databricks, using Python, spark, pyspark, and big data streaming to pioneer client technologies and data. AI solution architect, primarily focusing on being the technical SME, leading client engagements related to data warehousing, ETL development, data integrations, and data modeling (databricks and the 3 clouds.
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Architect data analytics solutions on Azure using services like Synapse Analytics, Databricks and Machine Learning etc. Experience with ETL tools such as Azure Data Factory and Databricks.
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Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms. Document the design and implementation of data access control within Databricks. Create detailed design of data access control mechanisms within Databricks using appropriate features.
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Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS.
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Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search. Some experience of using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic.
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Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure.
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Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets) Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV. A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming.
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Create integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control. Create pseudo code for auto-classification, auto-tagging, and data usage logging within Databricks.
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Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV. Optional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview. Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java.
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