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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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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.
$18.13 - $27.75 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) As a Data Engineering & Analytics practice lead you will be responsible for growth, business development and providing advisory and thought leadership on the provision of analytics environments leveraging Cloud based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.
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Snap-on is an Equal Opportunity Employer, Minority/Female/Disabled/Veteran. Snap-on offers a competitive compensation package, which includes an annual base expense, commissions, and sales bonus opportunity.
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Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will identify possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with machine learning, predictive analytics, and statistical modeling with big data platforms is a plus. Proficiency in programming languages such as Python, R, MATLAB, or JMP to analyze large data sets.
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Applied Materials has an exciting opportunity to join a world class Global Investigations and Digital Forensics Team. This Data Scientist will be part of a multi-disciplinary team that works collaboratively within Legal and jointly with the Information Security, Business Units, and Corporate Services teams to conduct a wide range of business intelligence and investigation support functions.
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KLA is proud to be an Equal Opportunity Employer. KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below.
$23.61 - $40.15 an hourFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Snap-on also offers a complete benefits package which includes: medical, vision, dental, life insurance, 401(K) Savings and company paid retirement plan, paid vacation, and many other benefits. Snap-on Sales Representative - Selling Direct to Industrial Corporations.
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With over 3,800 patents, our products are enabling advancements in 5G, renewable energy & storage, artificial intelligence, cloud technology, and big data. MKS is an equal opportunity employer, including disability, veteran status and all categories protected by law.
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NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. Experience working in Autonomous Vehicle testing, evaluation, and data engineering.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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big data incentive compensation equal opportunity jobs Title: data scientist in Sunnyvale, CA
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