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Technical Proficiency: Proficient in Snowflake, SQL, Python, Spark, AWS, Airflow, Redshift, and Databricks. Technical Proficiency: Proficient in Snowflake, SQL, Python, Spark, AWS, Airflow, Redshift, and Databricks.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Design and maintenance of pipelines built atop distributed data technologies (Databricks/Spark, Snowflake, BigQuery/Redshift, Kafka/Kinesis, etc.) What you'll do You'll build out our data platform capabilities across a wide selection of themes (pipelines, graphs, ml models, annotations, automation, data observability, data lifecycle management, data governance, semantic layers) using a set of core services (currently AWS, Databricks, and Looker.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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3+ years experience of Databricks for data engineering and analytics. Familiarity with Azure Data Lake and Databricks. 3+ years experience of Databricks for data engineering and analytics.
$60 an hourExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Strong experience with cloud-based data warehousing solutions such as AWS, Databricks, Big Query, and Snowflake. Strong experience with cloud-based data warehousing solutions such as AWS, Databricks, Big Query, and Snowflake.
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Experience selling Data, ML Services built upon AWS, GCP, Snowflake or DataBricks. Experience selling Data, ML Services built upon AWS, GCP, Snowflake or DataBricks. Lead the development and implementation of go-to-market strategies for new services, leveraging AWS, GCP, Snowflake capabilities.
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Proven SQL and cloud platforms-Databricks/Snowflake. Proven SQL and cloud platforms-Databricks/Snowflake. Using your commercial analytics skills using Python, R and and libraries to analyze performance data.
$165,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Has hands-on experience delivering solutions using Databricks and the platform, including AWS Step Functions and AWS Batch (preferred) Solution design using Databricks and related AWS services and tools.
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Hands-on experience with data engineering (databricks, spark, dataflow, etc. Hands-on experience with data engineering (databricks, spark, dataflow, etc. Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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EMR/Databricks/Cloudera CDP is must. EMR/Databricks/Cloudera CDP is must. Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL., HBase. Strong project experience in Big Data, Cloudera.
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Experience with Azure products and services including Azure Data Lake Gen2, Azure Pipelines, Azure Databricks, Databricks API, Databricks error loggins, Azure SQL Serve and Azure Analysis Services.
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Familiarity with AWS and Databricks environment. Familiarity with AWS and Databricks environment. Experience in solving difficult data science problems using a variety of Machine Learning techniques with careful investigations into accuracy / performance.
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Familiarity with Spark, Databricks and/or AWS. At our Universal City office interns will have access to the NBCUCommutes program, which offers free Metro fares and discounted Metrolink/Vanpool/Lyft trips.
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High familiarity with data platform and applications such as S3, Tableau, Databricks, Redshift and Airflow. Experience with data governance tools such as Alation, Collibra, Databricks Unity catalog, Informatica etc.
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Experience with Spark and the Databricks platform. The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
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