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Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.) 3+ years of hands on experience with data visualization tools (Tableau, Looker, PowerBI, etc) Data engineering (Python, dbt, Kafka, Parquet, Fivetran, Hightouch, etc.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Someone who can engage with senior stakeholders and provide a viewpoint on their data strategy. Data Architect with AI/ML. Dice is the leading career destination for tech experts at every stage of their careers.
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You will handle everything from backend data ingestion and model training to creating intuitive front-end interfaces for data visualization and correction. Introduction: Join a pioneering team focused on revolutionizing data-centric AI. As a Software Engineer (Full-Stack), you will develop innovative software systems to enhance data quality for various industries.
$130,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong expertise in designing and building scalable data pipelines, ETL processes, and analytics solutions using AWS services (e.g., S3, Glue, Lambda), ETL tools [ e.g., Qlik, Fivetran, Informatica IICS], and Snowflake.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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, Machine Learning engineers for full time positions with clients.
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The Data Scientist will use high-level software tools (e.g., R, SQL, Netezza, Python, SAS, Stata, Git) to build analytics models, conduct econometric/statistical analysis, and visualize data.
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Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc. Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science.
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Develop reusable data models in Snowflake, Tableau, or both to allow for ongoing analysis. 3+ years of experience in data management, data engineering, data analytics, product management, or a similar background.
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Position Description:Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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Capital One is seeking a product owner to helpdeliver game-changing cybersecurity solutions based on threat, data, and design thinking. Drive performance and innovation with data-driven insights.
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Grant Thornton is seeking a Cyber Privacy and Data Protection Senior Manager to join our team in Chicago, IL. Additional approved locations include: Atlanta, GA, Bellevue, WA, Boston, MA, Charlotte, NC, Dallas, TX, Houston, TX, Los Angeles, CA, New York, NY, Philadelphia, PA, San Francisco, CA and San Jose, CA.
$202,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
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Experience with data visualization tools such as Tableau, MixPanel, Google Looker. The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy.
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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.
$165,060 - $242,830 a yearFull-timeExpandApply NowActive JobUpdated Today
data job Company: Dice in San Francisco, CA, Us
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