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Data and Analytics such as Databricks, Snowflake, Azure Fabric and Power BI. Data and Analytics such as Databricks, Snowflake, Azure Fabric and Power BI. Container management and microservices such as Kubernetes, Docker and Openshift.
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5+ years in business application design and systems development, including implementation and installation in multiple EDW and BI environments with various technologies (i.e. Microsoft Fabric, Databricks, Snowflake, HANA, SAP BW, SAP Analytics Cloud, Tableau, BusinessObjects, Cognos, Oracle BI, Microstrategy, etc.
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Data Prep/Transformation tools – Tableau Prep, Hadoop, Alteryx, Paxata, Trifacta, Altair, Talend. Database and Query Languages – CCL, SQL, Nomad, Oracle, Vertica, Snowflake. Data Science tools – R, Python, SAS, dataiku, DataRobot, Cnvrg, Anaconda.
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Familiarity with a broad range of data platforms (e.g., Oracle, SQL Server, MySQL, Hadoop, Netezza, Teradata, RedShift, Snowflake) and Business Intelligence/data visualization. Master Data Management, Data Stewardship, or Data Governance experience.
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Strong and proven knowledge working with data lakes, lakehouses, and data warehouses in the cloud (Databricks, Snowflake, Azure) As a Data Azure Engineer, you will develop cutting-edge data platforms using Azure technology.
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This role requires experience with Elasticsearch, Redis, Snowflake, Kinesis, KDA, Kafka, Apache-Storm or similar. Senior Site Reliability Engineer, Data Platform. Okta is committed to complying with applicable data privacy and security laws and regulations.
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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These technologies include but are not limited to: Microsoft, SAP, Qlik, Snowflake, Alteryx, Automation Anywhere, and Workday Adaptive Insights. Minimum 8 years working experience in data engineering.
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Experience with machine learning (e.g. PyTorch, TensorFlow) and / or big data infrastructure (e.g. Databricks, Snowflake, Redshift, Kafka). You may have a particular strength, specialism, or preferred area of work (e.g. backend, frontend, data) or preferred set of tooling.
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Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers; Build, maintain, improve, scale, and secure cloud infrastructure and resources using IaC tools (Terraform, CloudFormation, Ansible.
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Python, PyTorch, TensorFlow, FastAPI, SQL, PostgreSQL, Snowflake, Git, Kubernetes, Docker, Data-Science, Machine-Learning. If you’re a passionate Machine Learning Engineer, we’re offering you the opportunity to join us at our Amsterdam HQ and make a real difference in our data-driven, scale-up environment.
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As thepremier data services provider specializing in Machine Learning and AI services for data and application modernization, we partner with the premier technology companies across the modern data platform like Snowflake, AWS, Azure, Fivetran, GCP and dbt to deliver cutting-edge services and solutions.
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Hold oversight for architecting and building data engineering pipelines on Snowflake, and streaming ingestion and transformation using Snowpipe and Dynamic Tables. Strong experience implementing data solutions on the Snowflake cloud data platform, including validated experience building continuous pipelines using Snowflake dynamic tables and dbt.
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Must have migration experience from legacy data warehouse to Snowflake. ➢ Lead and Architect migration of enterprise on-prem data environment to Snowflake with performance and reliability.
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Data lakes (Snowflake, DataBricks), streaming analytics (Kafka), log management (ElasticSearch, SumoLogic, etc.) You will need to bring a combination of technical, business, strategic and problem-solving skills to the team to support pre-sales efforts and as a data subject matter expert to the larger SentinelOne team.
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snowflake data jobs in Snowflake, AZ
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