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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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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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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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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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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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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 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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The Data Engineering team (within DDSI) 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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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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The IIT Management Supervisor will organize and coordinate the activities of individuals in the Clinical Investigations Support Office (CISO) and the Data Science Core (DSC); DSCi (Informatics) which programs the databases and makes sure that these data are securely stored in databases, and the Biostatistics which analyzes the data.
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Familiarity with the utilization of big data and predictive analytics, such as IRI or Nielsen, to produce consumer targeted insights. Use analytics skills to participate in the formulation of strategy and infrastructure development, data collection processes, analysis, and program development.
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We are a data-driven team: data engineering, data science, and analytics is central to everything we do and underpins all of the functions mentioned above. As a Data Scientist at Square, you will lead projects that derive value from our unique, rich, and rapidly growing data.
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An STS BIG Intern will have the opportunity and charge to innovate and collaborate with BDO professionals in all of our business lines as well as with our clients’ innovation leaders, in tax, accounting, and finance, and also in their BIG, engineering, software, manufacturing, scientific, medical, and other R&D-related departments.
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Lead multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market. Develop a thorough knowledge and understanding of cross system integration, interactions and relationships in order to develop an enterprise view of Thrive Market’s future data needs.
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big data jobs Title: administrator Company: Intuit in Los Angeles, CA
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