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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.
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Lead design, build, test & deployment of components utilizing Python, Spark, Bash, Terraform, AWS EMR, Glue, AWS La. Lead design, build, test & deployment of components utilizing Python, Spark, Bash, Terraform, AWS EMR, Glue, AWS La.
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Building data ingestion pipelines is highly technical and requires advanced skills with computers and proficiency with Big Data tools and technologies such as SQL, Python/Scala, Spark, Spark Structured Streaming, Spark SQL, Kafka, Sqoop, Hive, Kudu, HBASE, Impala, S3, HDFS, or Cloud platforms such as AWS, GCP, Azure, etc.
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Be the spark that brightens days and ignite your career with TTEC's award-winning employment experience. As a Temporary Bilingual Customer Service Representative - Govt Public Trust Clearance - Spanish English working remotely, you'll be a part of bringing humanity to business.
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Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark; Extracting and aggregating data from large data sets using SQL/Hive or Spark; Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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Experience with big data technologies such as Databricks, Spark, SparkR. Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely.
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Demonstrated programming skills with SAS, Spark, Python, R or equivalent languages. For example: Transaction Monitoring Systems, KYC/CDD, Sanctions and Wire screening Applications, Network Analysis, Entity Resolution & Identification and Segmentation utilities or Case Management solutions.
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Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world’s best and most beloved brands and companies.
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Knowledge of Big Data platforms (e.g. Hadoop, Map/Reduce, Spark, HBase, HDInsight, Data Bricks, Hive) and with programming languages like UNIX shell scripting, Python etc. Knowledge of Big Data platforms (e.g. Hadoop, Map/Reduce, Spark, HBase, HDInsight, Data Bricks, Hive) and with programming languages like UNIX shell scripting, Python etc.
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Through hiring, training, managing, and developing, you will help your crew spark moments of delightful possibility for our customers. Working at SONIC, you'll spark moments of delightful possibility.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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Experience in one or more of the following languages: Python, SQL, Spark. This role provides an opportunity to develop models for deployment on the Quantitative Finance Analytical Platform, a proprietary platform for advanced computational needs within Corporate Treasury.
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Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. We serve many end clients, some of which include Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonalds, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, Charles Schwab.
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Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow. Reach & Scale: 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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spark job Title: databricks in Atlanta, GA
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