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Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery.
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Developing R package and Shiny apps: Contribute to strategy of R programming innovation to support BDM analysis and reporting, such as R shiny apps for data surveillance, visualization, modeling and simulations, and safety signal detection.
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Create data science assets and automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau, Microsoft Azure (Fabric, ML Studio, ADF, Synapse, PowerBI, etc.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent. Experience leading Big Data engineering teams working in environments such as Hadoop and Spark. Confirmed data engineering experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Hands-on experience building big data processing systems. Process TBs of data delivering actionable insights and intelligence using technologies such as Spark, Airflow, Google Pubsub, Pulsar, BigQuery, DBT.
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Demonstrated experience in data extraction/shaping (e.g., SQL), statistical analysis (e.g. R, Python), and data visualization tools (e.g. Power BI, Tableau) Solid communication skills: able to convey complex data insights to non-technical stakeholders.
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Exposure to at least one high-level programing language (R, Python, etc.) Bachelor’s degree in Quantitative Finance, Economics, Mathematics, Engineering, Data Science, Statistics or related field.
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Proficient skills in SQL/Python/R/etc., SQL data bases like PostgreSQL and Snowflake, and BI Tools like Looker and Tableau. Wrangle data from multiple sources to create integrated and actionable data insights through data extraction and/or transformation processes via any data handling means relevant (SQL, Python, LookML, etc.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 2 years of experience in big data technologies.
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Proven use with zero trust network access, encryption, web application firewalls, data protection, vulnerability management, API security, IaC. Proficient in one or more: Terraform, Kafka, Kubernetes, scripting (Python, JavaScript, Bash.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Development of a Software R&D organization which shapes and drives Dematic's overarching software strategies, providing a focal point for software knowledge management. Lead the global technology and solutions organization, which includes Software R&D, Systems R&D, Product Information & Training, Standard Solutions, Robotics COE, and dotted line CTO Prod Dev SCS.
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Hands on experience of working with continuous integration tools such Jenkins, Circle CI. Broad hands on experience in AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sagemaker, Athena, etc.
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big data python r jobs Company: Inc in Atlanta, AR, Canada
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