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Input data-entry to accurately document the items and quantities included in each packing transaction. Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, pick packer, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, pick packer and maintenance mechanics.
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How you’ll make an impact: In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
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Qualifications Strong technical accomplishments in SQL and data analysis skillsExperience with data transformation orchestration tools like dbt or DataformStrong business intuition and ability to understand complex business systemsFamiliarity with additional transformation platforms like Apache Spark and BeamExperience with MPP databases such as BigQuery, Redshift, or Snowflake.
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Experience and comfort in working with data from globally-trusted third-party sources like the UN, IMF, OECD, and World Bank. Familiarity with data visualization tools like Tableau or Power BI.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Specialized experience is defined as experience 1) conducting data analytics or financial analysis using machine learning algorithms; 2) developing data visualizations or dashboards to communicate analytical results using technologies such as Tableau or Microsoft Power BI; and 3) developing, deploying and maintaining data pipelines in a cloud computing environment using Python, SQL, or Microsoft Azure technologies such as Azure Databricks.
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Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) As a Senior Sales Specialist - Data & AI, you will be a senior solution sales leader within our enterprise sales organization, working with our most important customers.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Work Experience: 3+ years of experience in Audit or IT Audit using data analytics (Alteryx, Python, R, SQL). A global investment bank that is building out their business in the US is looking for an Associate of IT Audit, Data Analytics.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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In-depth experience of data-warehousing strategies and techniques , Kimble Data warehousingExperience in Cloud-based data integration tools like Azure Data FactoryExperience in Azure DevOps or JIRA is a plusFamiliarity with Agile development techniques and goalsAdditional InformationThe anticipated salary range for this position is $68,000 - $110,400.
$110,400 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experienced in using Talend Data Fabric tools including Talend DI, Talend Bigdata, Talend MDM, Talend Data Quality, Data Governance, and Talend Data preparation, Enterprise services Bus, Talend Cloud, TAC and TMC.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). · Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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data input jobs Company: King Rose Construction in New York, NY
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