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Linux / Bash scripting, structured and unstructured data management tools (Snowflake, PostgreSQL, MySQL, KDB+, Hadoop, etc. Extensive experience with supporting investment research, portfolio management and trading; good hands-on knowledge about market movement & sentiment analysis, portfolio optimization, security or factor-based investment strategy, cash flow analysis, or algorithmic trading.
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Experience with non RDBMS platforms: HBase, Cassandra, Hadoop, MongoDB, Snowflake, etc. Experience with one or more of Python, PySpark, Java, Databricks, Node. JS, React JS, Restful APIs. Experience in designing and architecting integrations between Informatica MDM and other systems using standard connectors, publish-subscribe, and other mechanisms.
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Experienced with one or more of the following technologies: ETL, Data warehousing, Hadoop, Spark, SQL, Python, R and the major cloud platforms Familiar with sales methodologies Strong communicator with a proven ability to build internal and external relationship Ability to travel - typically once or twice per quarter for internal meetings Annual Pay Range: 0 - 0 Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs.
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Knowledge of big data technologies, including Apache Spark, Hadoop, or equivalent cloud-based services. We are looking for a motivated and detail-oriented Data Engineer to join our data engineering team with a strong focus on assisting in development of workflow automation using Apache Airflow.
$90,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data quality and big data technologies preferred (e.g. Spark, Hadoop, Kafka, Flink). We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
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Proven experience with large scale distributed & cloud-based technologies such as Kubernetes, Hazelcast, Kafka, MySQL, Mongo, Cassandra, Containers, Chef, Splunk, Elastic, and Hadoop. Proven experience with large scale distributed & cloud-based technologies such as Kubernetes, Hazelcast, Kafka, MySQL, Mongo, Cassandra, Containers, Chef, Splunk, Elastic, and Hadoop.
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Proven professional working experience in any of the following: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift. Proven professional working experience in any of the following: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift.
$195,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Direct the use of advanced data management technologies (e.g., Alteryx, Hadoop, SQL) to develop and interpretcomplex datasets as input into detailed EBITDA analyses, net working capital evaluations, deal models and key financial metrics, driving strategic business decisions.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Broader knowledge of large dataset processing pipelines and distributed computing architectures (Apache Beam/Airflow, Spark/Hadoop architectures) Broader knowledge of large dataset processing pipelines and distributed computing architectures (Apache Beam/Airflow, Spark/Hadoop architectures.
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Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. 5+ years of Games Industry (supporting title Development, Release, or Live Ops) experience. Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
$202,800 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Proficiency in data management and analytics tools and technologies, such as SQL, NoSQL databases, Hadoop, Spark, Databricks, Kafka, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud.
$208,692 a yearPart-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. The GSO Data Services (DS) team, based in Goodyear, Arizona, is responsible for providing support to our global teams through ETLM, governance, database administration, and analysis tasks.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Familiarity with Phantom, Cloud computing, Web Interfaces, Databases, and Big Data technologies (like Hadoop, Kafka, etc.) Job Title: Splunk Engineer. Familiarity with Phantom, Cloud computing, Web Interfaces, Databases, and Big Data technologies (like Hadoop, Kafka, etc.
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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