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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must.
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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.
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Expertise supporting data interfaces with MES, OSI PI and Data Lake. Expertise in building graphical user interfaces that support data access, visualization and process leveraging tools such as OSI Pi Vision, Infobatch and process data analytics platforms such as Seeq.
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Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc.
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Proficiency in data engineering tech stack; Snowflake / Python / SQL / GitLab / AWS / Airflow/ DBT and others. As a data engineer in the Data Products group, your work will be typically focused on designing, building, and maintaining new data pipelines and datasets for workflows involving one or more Business Units at SoFi. You will be responsible for building foundational and critical data products, such as members' 360, members' time series etc., which are highly leveraged across SoFi for analytical, reporting, and machine learning use-cases.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Record Keeping: Input data into local HMIS, Caseworthy and other data entry systems – consistently attending trainings and seeking learning opportunities, updating skills as new information is available.
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3+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. 7+ years of data engineering experience developing large data pipelines. The Lead Data Engineer will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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Data engineer who has experience with Databricks and Unity Catalog. Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality.
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Experience developing and supporting applications written in Microsoft Access as a front-end (data entry forms and reports) to Microsoft SQL Server. Minimum of 5 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), Microsoft Azure Data Factory, IBM InfoSphere DataStage, or any ETL applications.
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The candidate must also have experience in data modelling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow. The ideal candidate will have extensive experience in PySpark and SQL and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate needs expertise in developing and managing data pipelines, particularly in a DataBricks DeltaLake format.
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As an GCP Developer, you will be responsible for designing the solution on GCP. You will contribute in pre-sales and design, implement scalable and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, and provide delivery oversight.
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We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack. Experience with Big Data technologies(Hadoop, M/R, Hive, Spark, Presto, Flink, Kafka, ClickHouse etc.
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We are looking for a Staff Data Scientist to partner with our product managers, designers, software engineers and business leaders to drive adoption for two new products, real-time driving behavior tracking and GPT-4 powered chatbot.
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In this role, you willLead design and development of data systems (both on- and offline) dealing with hundreds of petabytes of multimodal sensor collections, autonomy simulations, and ML datasetsHelp us improve the discoverability, throughput, and latency of our multi-modal offline dataCreate internal products and best practices to help us become more efficient, transparent and innovative as we launch our commercial Aurora Driver product.
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data entry jobs Title: home Company: Remote Career Jobs in Seattle, WA
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