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We process billions of mail messages using cutting edge algorithms in areas including but are not limited to: Natural language processing, GenAI, Large Language Models, Machine Learning techniques, big data processing in order of petabytes to: Extract information, build mail content and user knowledge, and interconnect different sources to identify, highlight and amplify what matters.
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Familiarity with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, or Snowflake. Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies.
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Eagerness to dive deep and become a healthcare data expert. Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human.
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Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse.
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Design, development, implementation, operations, and support of the Big Data real-time streaming pipelines in a secure and performant manner using Apache Flink, Apache Spark and Apache Kafka. We are looking for an experienced Senior Big Data Engineer (official title is Senior Big Data Engineer I) to support operations, solve complex issues, and drive growth.
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Currently, Avint LLC is seeking a motivated, career and team-oriented platform data engineer in support of the U.S. Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) Continuous Diagnostic & Mitigation (CDM) Data Services Program.
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Innovating through new and existing technologies, along with experimenting with digitization solutions;Working with large, complex data sets to build models and leverage data visualization tools to provide insights to clients;Utilizing digitization tools to reduce hours and optimize engagements; and,Demonstrating knowledge of alternative fee arrangements, including the use of pricing tools, to provide a point of view on pricing strategies.
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Unsere europaweite Gemeinschaft von Software Engineers, Architekten, Data Scientist und Consultants untersttzt Kunden bei der Bewltigung von Herausforderungen und bietet Chancen, um Innovationen anzugehen oder Bestehendes zu verbessern.
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Design Marketing Data Warehouses, ingesting data from web analytics, CRM, and media platforms, using appropriate cloud infrastructure for automation including Airflow, Apache Beam, microservices, and other solutions.
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Today, our stack consists of Fivetran, Snowflake, dbt, Metaplane and Mode. Over the next 12-18 months you'll help us architect and implement the data strategy for new products and new partners while maturing our current platform.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Maintain detailed documentation of your work and changes to support data quality and data governance.
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Strong proficiency in programming languages relevant to data engineering (e.g., Python, R, Scala, etc). Develop and implement a comprehensive data strategy that aligns with our growth objectives, including data governance, data quality, data modeling, and data analytics initiatives.
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Data Warehouses (Amazon Redshift preferably) 5-7+ years of software engineering or data engineering experience. Based on market data and other factors, the salary range for this position is $175,000-$200,000 + Equity.
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Experience with delivering reusable data capabilities, infrastructure-as-code (Terraform, CloudFormation, CDK, etc), and data contracts. Partner with Data Governance teams to ensure the platform aligns with compliance and security policies, protecting data and aligning with industry standard processes.
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This individual will work directly with the Data Architect, along with the CTO of Lasso to establish a Machine Learning platform along with best practice engineering standards to ensure secure and successful data solutions.
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Title: data scientist Company: Pwc in Philadelphia, Anoka, Minnesota
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