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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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Python, Ubuntu, PostgreSQL, jQuery, Django, CSS, HTML5, AJAX, Bootstrap, OpenLayers, Web Development, Front End, Database, Software, Analysis, Agriculture, Cloud, Mobile, Big Data. Solum is developing a cloud and mobile-first software platform that will greatly simplify the transport, storage, analysis, and sharing of precision agriculture data.
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Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines. Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Deep understanding of various technical aspects including system integration, embedded system design, processor selection, analog integration, sensor design, digital data transfer, power supply design, EMI/EMC practices, signal processing, and more.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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As a Sr. Product Manager - EMS you will be responsible for driving the strategy, development, and delivery of cutting-edge Energy Management System (EMS) solutions for standalone battery energy storage and hybrid solar+storage systems, with an emphasis on large, front-of-the-meter, utility-scale applications.
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Senior Software Engineer with backend / distributed systems / large scale and database/data processing or data streaming centric background and coding skills in at least one of Go, Golang, Python, Java or C.
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Possess exceptional front-end software engineering skills, with proficiency in technologies such as HTML, CSS, JavaScript, and modern front-end frameworks (e.g., React, Angular, Vue.js.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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Experience building a data platform, with experience in tooling and services such as Airflow, Spark, Flink, Beam, dbt, Dataflow, BigQuery, Tableau, Looker, or equivalent. Memora Health ingests existing data on clinical workflows, converts them into cohesive messaging journeys that guide patients through their care episodes, and automates the completion of simple follow-up tasks in the EHR. Memora's platform reduces care team notifications by nearly 40%, has an average patient NPS over 70, and improves engagement and clinical outcomes across diverse populations.
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Microsoft Certified: Azure Solutions Architect with hands-on experience in SQL Server, SQL Development and SQL Database Azure Storage, Data Zoning, Synapse DW/Spark, Datapicks Polybase, Big Data Concepts Power BI Services, platform and Paginated Reporting Automation (Azure Pipelines/Azure Data Factory.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. The Data Engineer II 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 entry receptionist front desk jobs in Oakland, CA
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