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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$242,830 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The wastewater surveillance Data Manager/Data Scientist will serve as data steward and will be responsible for data infrastructure and governance on a team of epidemiologists and data scientists all working on subsets of wastewater surveillance data to ensure data flows are connecting seamlessly across the ecosystem.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. Advanced proficiency with SQL and data visualization tools (e.g. Mode, Tableau, etc.
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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3.
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As a Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people.
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Experience with data visualization tools (e.g., Looker, Tableau, Power BI). This individual will act as a hybrid market researcher and data scientist, leveraging tools such as R, SPSS, SAS, and SQL to automate processes and perform statistical analysis.
$298,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience in Oracle C2M electric billing, Oracle database, power scheduling, electric load forecasting, AMI, Itron MV90, meter data management, and hydro modeling software. Experience in energy or resource-related data collection/analysis is highly preferred (meter data, prices, load/demand, ISO market scheduling/settlements, MDMA or Scheduling Coordinator functions, regulatory reporting for energy.
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Responsibilities may include: operation of imaging/cytometry equipment, performing molecular biology techniques including RNA/DNA extraction, PCR, plasmid preparation and basic cloning, performing imaging/cytometry techniques including immunofluorescence, immunohistochemistry, flow cytometry, performing basic data analysis, scientific writing, organization of data appropriate to role in the lab, record keeping and data entry, and shared lab manager/organizational duties.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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Enters health information into electronic health records (EHR) and utilizes EHR for documentation, records retrieval, staff communications, and data reporting. Trainees are expected to complete the curriculum within one year, acquiring the knowledge, clinical competence, data gathering, and patient relations skills to fully and competently perform the duties of a Health Coach II. Promotion to the Health Coach II classification will be contingent upon successful completion of the training program as evidenced by the trainee's performance evaluations and examinations.
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Director, Revenue Accounting & Data Analysis (4629U), Intercollegiate Athletics - 69022 About Berkeley At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included.
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big data jobs Title: engineer senior data in Oakland, CA
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