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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Extensive experience with data warehousing and data lake technologies (e.g., Snowflake, BigQuery, Redshift) - Proven proficiency in data pipeline tools (e.g., Apache Airflow, Apache Kafka, Apache Spark.
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Associate Teachers are entry-level Teachers who will teach along side a Lead Teacher. Previous experience working with children or students such as: TA, RA, Tutor, Camp Counselor, Daycare Teacher, Nanny/babysitter, Sunday school Teacher, Tutor, or related.
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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.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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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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Title: Data Entry Specialist -SAP (Remote after training) The main function of a data entry specialist is to operate data entry devices, such as a keyboard or computer, to verify and input data.
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Under the supervision of the Operations Manager, the Program Assistant supports operational and case management needs, including data entry and management into various tracking systems, supporting scheduling needs, clerical duties, and more.
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SSIS strongly preferredPython DBT, Mulesoft, Alation – good to havePrimary Responsibilities:Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Experience in one of the public cloud providers – GCP, Azure, AWS.Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Principal Quant Data Engineer who wishes to take on the challenge of building a world-class data operation.
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Using data warehouses (e.g., Snowflake, Redshift, BigQuery) to load and analyze data, including using complex SQL queries to transform data and tools like dbt to manage data transformation.
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Experience working with data SaaS and BI tooling (Fivetran, 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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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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entry data jobs Title: entry Company: Asnservice in New York, NY
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