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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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Strong proficiency in creating 3D CAD in Solidworks and managing data in PDM (Product Data Management) software or equivalent (ie Siemens NX and Teamcenter) Strong proficiency with finite element analysis (FEA) software, e.g. ANSYS, for structural and/or thermal analysis.
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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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We are seeking a proven contributor who will provide support in data engineering, building data assets, and software applications. Experience with Spark, Databricks, Airflow and related Big Data technologies.
$124,000 - $234,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data and relational databases (e.g., Hive, Presto, MySQL) is a plus. You will manage a small team, conduct hands on technical testing and collaborate closely with cross-functional teams, including USDS stakeholders, global stakeholders, engineering and product teams, to enhance our privacy practices and ensure the protection of user data.
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Job Req ID: 23787 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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Work alongside Architects, Software Engineers, ML Engineers, and Data Scientists to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
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Design, build, and operate highly performant and scalable batch and stream data processing infrastructure and solutions to support day to day ML operations including training, serving, evaluation and experimental systems.
$200,000 - $249,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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As an EDA Product Engineer for the Sigrity & Clarity family of products, you will be responsible for capturing the requirements of, developing, testing and delivering software integrations between Sigrity / Clarity and other EDA tools within the Cadence EDA portfolio.
$169,400 - $314,600 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions; internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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We are looking for an exceptional Software Manager to join our innovative product development engineering team at Spectra-Physics, which is part of the Lasers Business Unit of MKS Instruments.
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Spark, Nvidia Triton Server, Kubernetes, YuniKorn, Kueue, Helm, AWS, EKS, EC2, S3, VPC, NLB, Ingress, Java, Go, Python, Splunk, Grafana, Prometheus, distributed systems, cloud computing, machine learning, inference, data processing frameworks, automation, optimization.
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We are looking for passionate Data Engineers that have strong problem solving skills to join forces with talented cross functional partners (business operation, data science, engineering and product management) to solve some of the most interesting data challenges with efficiency and quality.
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Expertise in designing, implementing and operating data engineering platforms and scalable web services, including schema management, transport (Kafka, SQS), warehousing and storage (AWS Redshift, AuroraDB, MySQL, Postgres), processing (streaming and batch ETL/ELT pipelines, Kinesis, Airflow, Spring batch), analytics (Spark, Hadoop, BigQuery, Databricks, Snowflake), and business intelligence reports (Tableau, QuickSight.
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big data software engineering business systems jobs Company: Amazon Web Services Aws in Santa Clara, CA
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