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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Our stack includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and SegmentExperience working with databases that power APIs for front-end applicationsHands-on experience with maintaining and scaling dbtExperience working with CI/CD pipelinesYou areSomeone with extremely high standards that obsesses over data accuracy.
$152,000 - $179,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Familiarity with using Databricks or a similar platform for data engineering & data science. Covering Big Data, Streaming, and Data Engineering related technologies such as spark, using scripting languages such as Python and using object-oriented languages such as Java/Scala/C.
RemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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A deep understanding of Spark internals / Databricks / ETL systems is a plus. Deliver high quality features using SQL (Databricks + MS SQL) and Java / Angular. A deep understanding of Spark internals / Databricks / ETL systems is a plus.
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Experience engineering big-data solutions using technologies like Databricks, Hive, and Spark. Familiarity with Databricks infrastructure management. Experience engineering big-data solutions using technologies like Databricks, Hive, and Spark.
Work from homeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Snowflake or Databricks certifications and/or hands-on-keyboard experience. Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.
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Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta shareetc. Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream.
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In-depth knowledge of spark internals, catalyst optimization, and Databricks runtime environment. Technologies Databricks, Delta Lake storage, Spark (PySpark, Spark SQL.
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Ability to develop utilizing the following technologies:Data Movement (Apache Spark, plus Azure Data Factory and legacy SSIS (SQL Server Integration Services. Knowledge of Power BI (Business Intelligence) and Microsoft and Databricks certifications is a plus.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 1500 employees. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world.
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