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The candidate will work with the Port Authority of New York and New Jersey (PANYNJ) and will complete general data validation and clean up in support of the PANYNJ Port Department’s development of its asset management program.
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Experience working with data SaaS and BI tooling (Fivetrain, Looker, Databricks, etc.) Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy.
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Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Knowledge of data handling and management languages (e.g., Python, R, SQL) Experience with Power BI and/or other data visualization software. Work with employees throughout the company to assist them in the design, creation, publishing, update and maintenance of business intelligence reports (e.g. in Power BI or Tableau) or other data analysis tools.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of leading a team building a world-class data environment.
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Design Data Lake and load the data to Data Lake using ETL and PYSPARK-Work with AWS- EC2, VPC, EBS, Athena, Aurora, RDS, DMS, EMR, S3, Redshift. -Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
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As a Power BI Developer, you will apply your intellectual curiosity and passion for problem solving to dig into our mammoth scale of data to help unleash the power of retail data analytics by imagining, developing, and maintaining Power BI Semantic Data Models that our Walmart data users can rely on.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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5+ years of data engineering, data pipeline development, and ETL experience using Python, SQL, and Snowflake. Our client is expanding their Data Engineering toolset and need an experienced AWS, Kafka streams, Python and SQL Data Engineer.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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Expert: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI. Working Knowledge: Azure WebApp, Azure Networking concepts.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Expert analytical skills and experience with syndicated data, measures and software (e.g. NPD, Nielsen/Nitro, IRI, Consumer Panel, Spectra, ECRM or Market Track, XP3, etc.) Leveraging syndicated data, shopper and consumer insights, and market trends, the Director will lead the development of comprehensive plans to enable greater sell-through, market share gains, and drive overall business growth.
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The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software. The focus is on running server system thermal tests using data acquisition equipment, thermal stress test software, and external power control equipment.
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Familiarity with modern data ecosystems and related concepts (ADLS, Azure Synapse, SQL Pools, Snowflake and Databricks) Collaborate with leadership and stakeholders to define the organization's data strategy and objectives, including data governance, data tools, data quality, data integration, build data processes, and data security.
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data job Title: hadoop Company: At T in Nutley, NJ
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