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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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The Hartford's Global Specialty IT team is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform. The Senior Staff Data Engineer will be proficient with data platform architecture, design, data curation, multi-dimensional models, strong understanding of data architecture, principles of ETL and Data Warehousing.
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8+ years data engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Design and build data pipelines: Design, develop, and implement data pipelines using Kafka, Airflow, AWS Glue, Python, and Lambda functions to ingest, transform, and load data into Snowflake.
$130,000 - $160,000 a yearFull-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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Demonstrate fundamental understanding of Garmin’s Aeronautical Data development process. Conduct testing and evaluation of GARMIN aeronautical data products. In this role, you will be responsible for the attribution, processing, evaluation, and maintenance of aeronautical data and the execution of Quality Assurance processes.
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Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc. Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Joe Vs , the small store that offers BIG savings, creates possibilities for our Customers and Partners to live a more enriched life by providing the lowest prices and highest wages. Joe V's Smart Shop, the small Store that offers BIG savings, creates possibilities for our Customers and Partners to live a more enriched life by providing the lowest prices and highest wages.
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Salary: Data Entry Work from Home - Part Time Computer Job. Data Entry Computer Job - Work from Home Part Time. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Knowledge of big data technologies such as Apache Spark and Hadoop. Expertise in Azure tools such as Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
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The Geophysical Data Processor is responsible for information gathering activities on survey vessels, analysis of multi-parameter data, problem-solving, and quality control for Marine Geophysical surveys.
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We are looking for someone with experience in data and market analysis including but not limited to crude oil and NGLs. The Crude Oil/NGL Market Analyst will apply and develop skills in data analysis and presentation, market commentary, and editorials - all in a fast-paced environment.
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Their recent seed round raised an unbelievable $11M at a $36M valuation, and the founders' last venture resulted in a big exit with the sale of the company to Microsoft. They pride themselves on our innovative approach to safeguarding sensitive data, networks, and systems.
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About the role As the SAP S/4 HANA Finance Functional Lead, you will be responsible for various development activities associated within the SAP Finance module, Vendor Invoice Management (VIM) and the SAP Master Data Governance - Financials (MDG-F) modules.
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Sub Skill(s): Big Data. Primary Skill: Data Engineering. Experience in Data Engineering. Additional Skill(s): Kafka, Python, Scala, Apache Spark. Additional Skill(s) Kafka Python Scala Apache Spark.
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Prior experience with data acquisition systems (especially National Instruments) and LabVIEW code development. Familiarity with data interface protocols and associated hardware such as Ethernet, RS232, RS422, RS485, I2C, SPI, etc.
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big data jobs Title: senior developer Company: Intuit in Houston, TX
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