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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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Required Skills: SQL Databases & network configuration; ETL (PENTAHO); Linux/UNIX, PERL programming, crontab files, MicroStrategy admin skills; Java-based applications environment; AWS & related open source & cloud tech; Python for automation; Bash/Shell scripting, Chef, Kafka, Storm, Spark, Hadoop, HDFS, SQOOP, HIVE, PySpark, Spark SQL, PIG, Yarn, DynamoDB (NoSQL), PostgreSQL, Restful API's, XML, JSON, Airflow, Hortonworks Data Platform (HDP.
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Work w/high speed distributed computing frameworks FLINK, Apache Spark, Kafka Streams. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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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Eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline. Preferred] AWS Certified Solutions Architect – Associate Level. Splunk, ElasticSearch, Prometheus, AppDynamics. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions.
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Proficiency with server-side languages for structured data processing; Python, PySpark, Java, Apache Spark, and SparkSQL preferred. Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager.
ExpandApply 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.
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Our portfolio includes Tinder, Match, Hinge, Plenty of Fish, The League, and others, each designed to spark meaningful connections for singles worldwide. Our portfolio includes Tinder, Match, Hinge, Plenty of Fish, The League, and others, each designed to spark meaningful connections for singles worldwide.
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Hands-on experience in Scala/Big Data technologies (Spark/Flink, Hive, Oozie, Hbase/Cassandra/MongoDB, Redis, YARN, Kafka) Experience with Java/Scala programming language Experience with shell scripting Experience with ETL job design using Nifi/Streamsets/Talend/Pentaho/etc.
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Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt. Big Data processing (Spark, PySpark, Scala, Dask) Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt.
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Spark Foundry is a global media agency that exists to bring HEAT - Higher Engagement, Affinity, and Transactions - to brands. With a bottom-up culture that celebrates diversity and aims for all voices to be heard, Spark has become a magnet for the industry's best talent, with one of the best retention rates in the industry.
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The Director, Analytics and Insights will be central in driving analytic insights and strategic thinking for a specific Spark Foundry account. By combining flawless media fundamentals with aggressive innovation, Spark inspires consumers to pay more attention; to care more about our clients’ brands; and to buy more products and services from them.
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
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Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
$99,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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spark job Title: assistant Company: Boys And Girls Club Of Bluffton in Chicago, IL
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