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Amida is currently looking for a Data Engineer to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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As a Principal DTI Data Engineer at Amgen, you will provide strategic leadership in designing and implementing Anaplan system architecture to support business objectives. As a Principal Data Engineer at Amgen, you will lead the design, development, and management of data infrastructure and solutions.
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As a Principal Data Engineer, you will work within the Informatics team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.
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As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, etc.) Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience. Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc.
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Studying Computer Engineering, Electrical Engineer, Physics, Microelectronics, or Mechanical Engineering. Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Lead Data Engineer. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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4+ year experience working on real-time data and streaming applications. At least 2 years of experience in big data technologies. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.
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Team Description: The Card Data Organization team works on the foundational capabilities of how data should be produced and consumed. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. These services drive everything in our platform from personalized workout recommendations to dynamic media generation and distribution, and analytics based on the largest and most advanced fitness data set in the world.
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Plano 1 (31061), United States of America, Plano, TexasSenior Data Engineer (Python, Kafka, Databricks, AWS)Do you love building and pioneering in the technology space? As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Coordinate with the Release Train Engineer (RTE) and scrum masters on the work of the team and in support of all Prudential Agile ceremonies and resulting execution/implementation work. Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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teradata data engineer jobs Company: System One
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