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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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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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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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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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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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Expertise in Databricks (Delta Lake, Apache Spark, Unity Catalog), Snowflake, Azure (Data Factory, Blob), SQL, and Python. You will design and develop big data solutions built on the Databricks and Azure technology stacks.
$167,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc. Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
$195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Must have : Databricks , Azure , spark , pyspark , Azure Data Factory , Python , SQL. 5+ years of experience in data engineering with Databricks and Spark. Design, develop, and maintain data pipelines using Databricks and Spark, and other cloud technologies as needed.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Significant program development experience in some or all of the following: AI/ML, Security Operations, Governance Risk and Compliance, Data Security/Protection, Data Science, Software Engineering.
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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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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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data job Company: Twitter in Edgewater, NJ
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