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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience in designing and implementing data pipelines and ETL processes using tools like Azure Data Factory/Airflow and Azure Databricks/Azure Synapse. Knowledge of Azure Data Platform including Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure HDInsight, Azure Cosmos DB, Azure Data Lake Storage, Azure Stream Analytics, and Azure Data Factory.
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Azure Data Factory, Spark, SQL, Python, Databricks, Snowflake. Design, develop, and implement robust and scalable data solutions using Azure technologies, including Azure Data Factory, Azure SQL Data Warehouse, Azure Databricks, and/or Azure Synapse Analytics.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt. Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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IaC tools like Terraform, Azure Resource Manager (ARM) templates, or AWS CloudFormation. Familiarity / experience with standard DBMS systems like Postgres, (Synapse or Redshift), Databricks, SQL.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Exposure to cloud-based data analytics tools (e.g., Azure Synapse, Databricks, Azure Machine Learning) Fellow or Associate of the Casualty Actuarial Society (FCAS or ACAS) Exposure to cloud-based data analytics tools (e.g., Azure Synapse, Databricks, Azure Machine Learning.
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The successful candidate will be responsible for the development and sustainment of multiple Cloud Databases, such as Snowflake, Databricks, Azure SQL, MySQL, and MongoDB ensuring operational readiness (security, health, and performance), supporting multiple development teams, and.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Good understanding of modeling platforms, such as: Azure AutoML, SageMaker, DataBricks, DataRobot, H2O.ai. Knowledge of web frameworks to build web applications (R Shiny, Dash) Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, Snowflake, Kafka.
$125,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Design and develop modern real-time solutions with Scala, PySpark, and Azure Databricks. 3 + years of experience with Azure Databricks, Stream Analytics, Eventhub, Kafka. 2 + years of experience with Power BI, Azure Analysis ServicesExperience with working with business stakeholders, requirements & use case analysis.
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In-depth knowledge of Azure services relevant to data solutions, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Azure Cosmos DB, etc.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Build/Deploy AI/ML platform in Azure with open-source applications (Argo, Seldon) and/or cloud/SaaS solutions (Azure ML, Databricks, Truera) Deploy Application in Azure Kubernetes Service using GitLab CICD, Jenkins, Docker, Kubectl, Helm, Terraform and Manifest.
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Experience with one or more commercial or open-source technologies like Databricks, Informatica, Talend, Airflow, Kafka is essential. AWS, Azure, or GCP cloud certification. Experience with one or more commercial or open-source technologies like Databricks, Informatica, Talend, Airflow, Kafka is essential.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience in understanding, designing and architecting Big data platforms services, systems using Java/python, SQL, Databricks, Snowflakes, cloud native tools on Azure & AWS. Cloud–Databricks, Databricks, BI/BA.
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