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Expertise in data lake architecture, big data technologies (e.g., Hadoop, Spark), and data engineering practices. Proven expertise in data science, including experience with data lakes, big data architectures, and advanced analytics.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Acts as a liaison for data coordination and development support, serving as the central point of contact between the gift processing team, data analyst, and development officers, ensuring seamless collaboration and alignment of data insights with fundraising strategies.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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Big Data Technologies: Utilize big data technologies (e.g., Hadoop, Spark) to process and analyze large-scale healthcare datasets. Experience with big data technologies (e.g., Hadoop, Spark, Hive.
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The Data Standards specialist will be responsible for overseeing the development, maintenance, and documentation of a knowledge architecture that is intended to integrate reference terminology from distributors (e.g., SNOMED CT®, LOINC®, RxNorm) in a common data model.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Above the trendy Brickell Avenue – find the best of both big city adventure and a tropical getaway – arrive at our lifestyle-inspired lobby, savour the fun and flavourful dining experiences, and spend the day with a swim or sway in a hammock within our two-acre sun-kissed sanctuary.
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Requirements: Attend a 20-week paid training program to gain skills and certifications in leadership, mathematics, cartographic analysis, radar systems operations, laser operations, computer electronics, detection systems, data calculation and recording data.
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This individual will provide legal counsel across various banking functions in the Bank's footprint, including commercial lending and loan documentation, regulatory compliance, contract management, privacy compliance, data management, and litigation and e-discovery.
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Managing clients in 40+ countries, their global team of 300+ focuses on data-driven strategies that help connect brands to the right consumers through performance partnerships, traditional affiliate, influencer, performance PR, content and B2B partnership marketing.
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Candidates with significant prior experience in both structural and functional neuroimaging data analysis (e.g., nipype, FSL, AFNI), statistical analysis using Python, R, Matlab and familiarity with high performance computing clusters (e.g., SLURM) are strongly encouraged to apply.
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Responds in a timely manner to unsolicited scientific inquiries of HCPs/investigators/health care systems/academic medical centers and population health decision makers integrating scientific data including real world evidence into real life practice to meet customer needs.
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High proficiency in using Python/Scala, Spark, Hadoop platforms and tools (Hive, Impala, Airflow, NiFi, Scoop), and SQL to build Big Data products & platforms. You will have the opportunity to develop data-driven innovative analytical solutions and identify opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions through activities like building ML models, automated data pipelines, design data architecture/schema, perform jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark, R, etc.
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Experience with big data technologies such as Hadoop, Spark, and Kafka, Azure Event Services. Azure Data Services: Expertise in Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Data Lake Storage.
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big data jobs Company: Alvonix in Miami, Fernley, Nevada
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