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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Collaborate with cross-functional teams to understand data needs and deliver solutionsStay updated with the latest industry trends and advancements in big data technologies, particularly in healthcare applications, and proactively suggest improvements to enhance data processing processes and tools.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Ability to draw upon technical and/or product knowledge in configuration of Supermicro or related products. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.
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Familiarity with big data technologies such as Apache Spark, Hadoop, etc. Excellent understanding of relational databases and data-modeling techniques are needed, and Cassandra or other NoSQL knowledge are a plus.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong knowledge and practical experience with big data technologies such as Hadoop, S3, Cloud Data Warehouse solutions (like Snowflake, Redshift, or Databricks). Keep abreast of the latest trends in data engineering and big data technologies.
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Minimum Qualifications- 5+ years of hands-on experience in developing, implementing, and validating Transaction Monitoring programs- Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors- Proficient in data processing and analytics in big data environment using SQL/Hive/Spark etc- Mastery of at least one prevalent programming language for data science, such as Python, Java, or Scala.
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Design and implement baseboard management controller (BMC) features to support Supermicro products. Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. Super Micro Computer, Inc. is seeking talented Firmware Engineer will be responsible for developing world class firmware to fully maximize the strong hardware architecture of in-house servers.
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Work with cross functional teams to establish Data governance, Data pipelining standards, client facing reporting enhancements and other analytical or data needs including integration with BI toolsAs a Staff Data Engineer, you can look forward to:● Being the shepherd in establishing Snowflake Governance across several business units.
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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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Player coach who can read and write SQL, Python and/or R. Experience with a big data environment / IDE, such as Databricks and/or Snowflake. Job Title:Director of Marketing Data Science - RemoteRole Overview:McAfee is undergoing a significant transformation in our Data and Analytics Strategy.
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4 + years of experience in Google Cloud Platform,GCS Data proc, BIG Query. 4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) Stay up to date with emerging trends and advancements in data engineering – both technically and in the HR and People Analytics/sciences domain.
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Required: Proficiency in data structures and algorithms in Scala/JavaRecognized Subject-Matter Expert big data engineering and cloud-based data warehouse. The Adobe Experience Platform handles petabytes of data on behalf of organizations allowing them to have a centralized and standardized data platform applying data science and machine learning (ML) to spectacularly improve the design and delivery of rich, personalized experiences.
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Work alongside ML Engineers, Data Scientists, and other Software Engineers to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
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Use big data technology to mine massive transactional data and translate credit risk analyses into actionable business opportunities. Team up with our data scientist, underwriting, data engineering teams closely to drive customer segmentation, new contact prioritization models and perform portfolio analyses.
$152,500 - $206,000ExpandApply NowActive JobUpdated 8 days ago
big data jobs in Cupertino, CA
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