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Azure Platform Experience: The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design, build, and maintain ETL pipelines, manage data lakes, and create insightful reports and visualizations.
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Big Data certifications (e.g., Cloudera Certified Professional (CCP): Data Engineer, Databricks Certified Professional Data Scientist). Data Overseer: Lead the architectural design and optimization of robust, scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks.
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Hands-on experience in AWS Cloud services including building and implementing server and serverless data engineering, data science, and analytics infrastructure. Work on complex problems ranging from mathematical proofs to big data processes to fueling research with blockchain, financial, and gaming metrics.
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Advanced knowledge of financial data platforms (Bloomberg, Morningstar, FactSet) 5+ years experience in utilizing financial data platforms such as Bloomberg, Morningstar, and/or FactSet.
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Remote Work From Home Data Entry Clerk for Entry Level Position. You enjoy data entry work and can perform the work from your home or location of choosing (remote work from home job) Remote Work From Home Data Entry Clerk for Entry Level Position.
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You will be responsible for defining, managing, and mitigating risks for any dependency between data initiatives across Data Engineering, Product Analytics, Marketing Analytics, Content Analytics, Data Product Management, and Data Science.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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IOR BASIC REQUIREMENTS GS-1529 Mathematical Statistician (Data Scientist): You must have a degree that included courses in mathematics and statistics totaling at least 24 semester hours.
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Enhance key skills such as data analysis, product development, and database management. Scrape and aggregate data from various web sources. An ability to craft algorithms , especially those that take and manipulate data from a dataset.
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You will be responsible for providing technical leadership managing data and information risks related to product development, technology solutions, crisis management, governance risk, compliance and data privacy.
$240,000 - $365,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3 Expertise in Cognos, Qlik Sense, and Tableau for advanced data visualization and reporting. 10+ years of Expertise in Cognos, Qlik Sense, and Tableau for advanced data visualization and reporting.
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Experience with managing EDM hierarchies, providing a centralized repository of master data and associated attributes, create mappings that feed downstream applications and enabling data governance.
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The role involves managing our Revenue Operations team and resources (a Marketing Operation Manager, a Senior Salesforce Admin + multiple third-party outsourced suppliers), optimizing our sales processes, driving operational excellence and business insights, managing key projects, and helping to improve our systems and data capabilities.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
$147,500 - $227,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big data tools like Spark, Kafka, Snowflake, Databricks, etc. Data visualization tool like Looker, Tableau, etc. Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc.
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data job Title: data scientist Company: Deloitte in Newark, NJ
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