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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. Responsibilities:The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies. Lead to build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability.
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Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc.
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Databases: Oracle, MS SQL Server, Azure PostgreSQL, Denodo - SQL: design and develop complex SQL queries, stored procedures, views, or to tune existing ones for optimal performance - Programming: Python, R - Azure Cloud - Azure Databricks - ETL Tools: Azure Data Factory, IBM DataStage etc.
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The laboratory focuses on using big data approaches to neuroimaging and genetics, using behavioral and non-invasive MRIs to examine brain-behavior relationships after stroke. Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Strong working experience with Big Data technologies (Spark, Data Bricks) for Data integration, & processing (ingestion, transformation, curation, etc), preferably on Azure cloud, and a clear understanding of how the resources work and integrate with cloud and on-prem.
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We are seeking a passionate and motivated Staff Data Scientist to join Tinder’s Sophisticated Analytics & Engineering team. The ideal candidate will have the right mix of hard and soft skills that allows them to technically mentor data scientists, while also effectively communicating the impact data science can have on Tinder.
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Experience with data visualization tools (Looker, Power BI, Tableau). Our Game Studio is seeking a talented Senior Data Analyst to join our dynamic team. 2-5+ years of experience as a data analyst or related field, preferably in live-service gaming.
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8+ years of hands-on privacy and/or data security experience at a top law firm and/or as in-house counsel. Provide support in connection with policy, government relations, legislation, and litigation related to privacy and data security.
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Experience with UI/UX development & design systems: CSS, Web Components, Less, Sass Experience or exposure in big data and event streaming technologies: Spark, Kafka, etc. Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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We do this through our Takitani foundation that grants scholarships to deserving local students, our solar farm on the Big Island, and other social & environmental initiatives. Develop and execute comprehensive social media strategies tailored to meet the unique goals of each brand, leveraging data-driven insights to optimize engagement on platforms including, but not limited to: Instagram, Facebook, TikTok, Pinterest, YouTube, and LinkedIn.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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At Leviton, we build what’s next to light, power, and connect everyday spaces, from electrical to lighting, to data networks, and energy management. Orchestrate senior management meetings between Leviton and the customer for “Big Picture” strategy discussions.
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big data jobs Title: data Company: Intuit in Los Angeles, CA
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