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Experience with big data processing and technologies: ETL, Hadoop, Elasticsearch for Hadoop, structured data, SQL schemas and queries, Apache Spark, Databricks, etc. You will be a key member of the team, where the rubber meets the road, doing work that matters for some of the U.S. Government’s most critical missions, and utilizing the latest technologies in Cloud Computing, AI/ML, and DevSecOps.
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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Support cloud-based data governance and big data platforms, leveraging AWS services. Stay current with Collibra updates, big data technologies, automation tools, and cloud services.
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Job Req ID: 23183 About Supermicro: 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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Experience with Cloud data stack solutions such as AWS, GCP, Azure, Snowflake, DBT, Airflow, Stitch. Cricut® is looking for a Senior Big Data Engineer to join our Data Platform team supporting the future of AI/ML. The ideal candidate will design, build, and integrate data from various resources, and manage big data pipelines that are easily accessible with optimized performance of Cricut®'s big data ecosystem.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Deep knowledge of Big Data technologies such as Spark and Cloud ETL tools like Databricks, with a focus on scalability and real-time processing capabilities. Understanding of Big Data technologies and frameworks, including Spark and Cloud ETL tools such as Databricks.
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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. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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5+ 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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Job Req ID: 24939 About Supermicro: 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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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$242,830 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.
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Big Data tools: e.g. Databricks, Snowflake, Redshift. 2-7 years as a Quantitative Researcher, Quantitative Developer, Data Analyst or Data Scientist. Experience with cloud infrastructure (AWS preferred) with working knowledge of multiple AWS services (S3, EC2, EKS, SQS, Redshift, IAM.
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These teams focus on exploring big industry game-changing technologies such as crypto currencies, artificial intelligence, virtual/augmented reality & cloud computing. Experience with cloud-native architectures, microservices, and serverless computing.
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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). The Friedkin Group and its affiliates are equal opportunity employers and maintain drug-free workplaces by conducting pre-employment drug testing.
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big data cloud computing equal opportunity jobs Title: data scientist in Phenix-city, Alabama
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