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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) 8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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Hands on experience on unified data analytics platform with Azure Databricks, Databricks Workspace user interface, managing Notebooks, Delta Lake with Python. Develop Azure Databricks data engineering, AI, and machine learning tasks.
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The position's main objective is to support the process engineering and cleanroom facilities through various “hands on” tasks and operation of semiconductor manufacturing equipment.
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Hands-on experience in coding SQL (BigQuery, Hue, SQL Assistant, etc.) + Enhance first-party data asset and value through deep analysis of website traffic drivers, customer website behavior, and CRM engagement/impact on brand adherence.
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Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
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The Service Reliability Engineer (SRE) role in Apple Services Engineering requires a mix of strategic engineering and design along with hands-on, technical work. At least 5 years in a Service Reliability Engineering (SRE), DevOps or infrastructure focused role.
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We seek a highly motivated hands-on mechatronics engineer in the Low Voltage Test Automation group, a team focused on creating robust, data-centric equipment for Tesla's vehicle and robotic electronics.
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The Principal ML Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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Hands on experience with Surface Analysis techniques - including (but not limited to) X-ray Photoelectron Spectroscopy (XPS), X-ray Reflectivity (XRR), X-ray Diffraction (XRD), Auger Electron Spectroscopy AES), Secondary Ion Mass Spectrometry (SIMS), Electrical Characterization, Physical/Mechanical Characterization, Thermal Analysis, Scanning Electron Microscopy (SEM), Electron Dispersive Spectroscopy (EDS), and Electron Backscatter Diffraction Spectroscopy (EBSD.
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Hands-on experience managing large numbers of diverse systems with configuration management or software delivery platforms (such as Puppet, Chef, Ansible, and Spinnaker) Data Platform Services SRE work directly with our partner engineering teams in an embedded SRE model, operating in unison with the developers to deliver seamless experiences for our customers.
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Hands-on experience with servers (Supermicro, EMC, DELL, HP) is preferable. Perform hands-on work on servers and computers/networking equipment. 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: Minimum of 8-10 years of hands-on experience in enterprise data management, with a focus on data ingestion, aggregation, and transformation using Redshift and Snowflake platforms.
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Hands-on experience implementing Palo Alto, including Prisma Access, Prisma Cloud and optionally Prisma Cortex. Minimum four (3) years of hands-on experience with Palo Alto.
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