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Expertise in modern big data tools and frameworks (e.g. Apache Spark, Airflow, and Delta Lake). Ideal candidates will have practical experience in designing and scaling big data pipelines with proficiency in big-data storage architectures (data lakehouse) and relevant software tools and frameworks including but not limited to Delta Lake, Apache Spark, Apache Parquet, and Apache AirFlow.
$122,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Knowledge of cloud-based big data and analytics services such as SQL Data Warehouse, Databricks, and ETL processes. Azure certifications, such as Azure Administrator Associate, Azure Network Engineer Associate, and Azure Solutions Architect Expert.
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Cloud expertise (AWS/Azure/GCP), MLOps (Docker, K8s, CI/CD), IaC (Terraform/CloudFormation), Python, API integration, data pipelines (ETL/ELT), big data (Spark/Hadoop), ML frameworks (TensorFlow/PyTorch/Scikit-learn), model versioning, etc.
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As a Research Intern at Dolby, you will have the opportunity to define and lead your own pioneering research project that connects big-picture change with the meticulous detail of technological innovation.
$57 an hourFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Our team consists of domain experts in big data who have solved similar problems for companies such as Google, Vertica, Uber, Stripe, Facebook, Pure Storage, DBT, and Snowflake, and other thought leaders in the industry.
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Experience with Kafka connect, Druid, Big Query and Looker is added advantage. Well versed with Hadoop, Hive, Spark using Scala, Kubernetes, Vertex AI, Presto/Trino, Cloud, Automic, Airflow and Data Lake concepts.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Learning & Development:take on career development programs and goal setting to create big possibilities for your career and life. Experience with materials characterization and microscopy techniques(TEM, SEM, FIB/Dual Beam, X-ray, AFM, Raman etc.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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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Experience in pyTorch / Lightning, TensorFlow, JAX, MLX a big plus. Machine Learning / Deep Learning / Convolutional and Recurrent Modeling knowledge is a big plus. Languages & Frameworks : Python, JavaScript, OpenGL, Pandas, Numpy, gNumpy, pyTorch / Lightning, TensorFlow, JAX, MLX.
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More broadly, the Greenleaf lab joins the rest of the Genetics department in crafting sequencing- and big data-driven answers to longstanding questions regarding the physical basis of gene regulation and cellular differentiation.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Familiarity with main Wi-Fi SOC in the industry, like Qualcomm or Broadcom, is a big plus. Strong proficiency in OrCAD, Allegro, Arena, MS Office. If you want to grow your career alongside bright, passionate, and caring people who strive to create what's next come connect to your future at CommScope.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, Databricks Spark, and AWS ‘big data’ technologies.
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7+ years of progressive experience in Information Security Governance, Risk and Compliance (GRC) or equivalent Compliance roles within the tech sector; Big 4 consulting and auditing experience is advantageous.
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Experience with big-data technologies like Hadoop/Spark or GCP-BigQuery is a plus. Experience with big-data technologies like Hadoop/Spark or GCP-BigQuery is a plus. At least 3-4 years of experience in a few areas: deep neural networks, reinforcement learning, Markov Random Fields, Bayesian networks, semi-supervised learning, natural language processing, computer vision, image processing, signal processing, distributed computing, and numerical optimization.
ExpandApply NowActive JobUpdated 3 days ago
big job in Stanford, CA
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