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Proven experience in data integration, data manipulation, data analytics, and data visualisation, leveraging industry-leading tools / platforms, e.g., Azure, Snowflake, Databricks, Alteryx, Power BI, etc.
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Experience building in, and potentially standing up, cloud-based data science environments (Posit Workbench, DataBricks, Sagemaker) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Hands-on experience working within an enterprise-scale Data Platform, while setting best practices for security, privacy, monitoring & alerting, and CI/CD (ideally with Google Cloud Platform, Airflow, Databricks, and Tableau.
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Connaissance d'Azure, Databricks, DBT, Snowflake, PowerBI est un plus. Connaissance d'Azure, Databricks, DBT, Snowflake, PowerBI est un plus. Master (les Grandes Écoles en sciences sont un plus) et/ou doctorat en STEM (très apprécié), de préférence avec une spécialisation en statistiques.
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Awareness of technologies such as: Azure, AWS, GCP, DataBricks, Snowflake, Alteryx, Tableau and PowerBI. Awareness of technologies such as: Azure, AWS, GCP, DataBricks, Snowflake, Alteryx, Tableau and PowerBI.
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Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and/or working in Snowflake/Databricks. Experience with machine learning technology, such as: big data stacked Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular.
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Database, datalake knowledge - Postgres, Oracle, Databricks, Snowflake. Knowledge with AWS cloud architecture and virtualization technologies such as Containers, EKS, Kubernetes, and VMware. Database, datalake knowledge - Postgres, Oracle, Databricks, Snowflake.
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Experience with ETL design, Data Factory / Synapse / Databricks / Microsoft Fabric/ PowerBI / Tableau will be beneficial. Experience with ETL design, Data Factory / Synapse / Databricks / Microsoft Fabric/ PowerBI / Tableau will be beneficial.
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Working knowledge of HTTP protocol and basic web systems, and analysis tools such as Splunk and Kibana/ELK stack, and database products (Oracle/MySQL/DataBricks/Snowflake, etc. Working knowledge of HTTP protocol and basic web systems, and analysis tools such as Splunk and Kibana/ELK stack, and database products (Oracle/MySQL/DataBricks/Snowflake, etc.
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Experienced with deploying enterprise level solutions on data preparation and ETL platforms (i.e. one or more of Dataiku, Informatica, Talend, Databricks, DataStage, SSIS, Alteryx, etc.) This role will be a subject matter expert and use knowledge of industry and functional groups to adapt data, analytic, and AI trends, while leveraging and evolving our existing landscape including the Global Development Integration Platform, Dataiku, Alteryx, Databricks, Snowflake, and data visualization products (Spotfire, Tableau, Power BI.
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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.
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