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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Combination of Development, Administration & Support experience in several of the following tools/platforms required:Scripting: Python, Spark, Unix, SQLData Platforms: Teradata, Couchbase,MongoDB, Oracle, SQL Server, ADLS, SnowflakeAzure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure FunctionsBI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana EEO.
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Experience with with SQL/SAS SQL (SQL Server, Azure/SQL) - 5+ years. Participate in the development of SQL queries and data comparison to validate AML rules output from the system.
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Traditional RDBMS (Teradata, Netezza, MS SQL Server, Oracle, MySQL, PostgreSQL) We’re interested in self-motivated and passionate leaders with a strong vision and desire to stay on the cutting edge of data technology and science.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake) Data integration Tools (Informatica, Talend, etc.) Experience with data pipeline and workflow management tools (Airflow, etc.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Modeling (Data vault, Star, Snowflake) Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components) Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of experience with at least 70% of other relevant technology stack: Python, Microsoft SQL Server, Redis, Jenkins, Struts, PostgreSQL, Docker, JMeter, Vue.js, SonarQube, Wijmo, AWS DocumentDB, AWS Lamba, AWS general services, Node, Nuxtjs, Selenium, Gradle, Checkmarx, TestRail, Angular.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Purpose of the Team: The purpose of this team is a data science team supporting a AAA Game studio. 5 years of experience with SQL, bonus if familiar with SparkSQL, Databricks, or Azure Data Explorer.
$90 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are in search of a highly proficient Senior Data Engineer with over 8 years of hands-on experience in architecting and maintaining data infrastructure. We are seeking a seasoned Senior Data Engineer to join our team and contribute to the optimization and expansion of our data infrastructures.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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Provides operational support for new and existing BI and data warehouse components (e.g., Microsoft Access, Microsoft SQL Server, MySQL, DB Visualizer, and Teradata Studio). Required Knowledge, Skills, and AbilitiesProficiency in standard data analytics toolkits such as Tableau, Qlik, R, Python, Matlab, SQL, dashboards, data mining, and/or statistical modeling for predictive analytics.
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They will utilize technologies such as Azure, Spark SQL, SQL Server, Azure Data Factory, Azure Databricks, Azure DevOps, Data build Tool (DBT), Git, Power BI, Azure Synapse Analytics, and Azure Databricks.
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Writes and optimizes SQL or Spark queries to extract, transform, and manipulate data in Azure Databricks. As a Data Consumption Engineer specializing in data and analytics solutions, your primary focus will be responsible for consuming, analyzing, and deriving insights from data using the Azure Databricks platform.
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Moderate to advanced MS Excel (pivot tables), Database experience (Access, SQL, Tableau, or comparable) & exposure to data analytics tools. Sophomore or Junior pursuing a Bachelor’s or Master’s Degree in Computer Science, Management Information Systems (MIS), Business Analytics, Business and Technology, Data Science or a related degree.
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data science engineer sql server jobs Title: senior data engineer in NY, United Kingdom
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