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We are seeking a talented and experienced Data Engineer proficient in Databricks, with expertise in both AWS/Azure cloud platforms. Proven experience as a Data Engineer with expertise in Databricks, AWS/Azure.
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Machine Learning Engineer (Modeling) - Support Advocate Copilot. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy.
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Acting as data domain and engineer standards expert with functional and business teams and understands business strategy and needs related to descriptive, predictive, and prescriptive analytics.
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Machine Learning Engineer. Software Engineer (L5) - Streaming Algorithms. Strong software engineering skills with experience in productionizing code and models in cloud environments.
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As part of the Finance and Strategy (F&S) Operations team, Senior Analyst role will develop and support operational reporting, data engineering work and Tableau visualization tool.
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2 - 4.5 years of Snowflake with AWS , Data engineering, Cloud experience. It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 45 million lives across 14 states.
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Tasks of the Cloud Platform Engineer include. Their success has led to the creation of an AI department that currently consists of more than 250 experts in areas like Data Science, Data Engineering and Cloud Engineering, solving problems around topics like smart manufacturing (IIoT), logistical optimisation and data integration.
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Professional/Expert level Cloud Architecture certification (AWS Certified Solutions Architect - Professional, AZ-305) Expert level familiarity with at least one of the following SQL Databases: PostgreSQL, MSSQL, Oracle, both on-prem and in the cloud (AWS RDS, Azure SQL, etc.
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As an Azure Cloud Engineer at Redeploy Build you are hands-on with tech, being awesome in solutioning, building, implementing, automating and optimizing our client cloud environments.
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Experience with AWS cloud services (Azure & GCP a plus) Accelerator - Digital Lead Data Engineer - All Gender page is loaded. You are a dynamic Data Engineer interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed for the enterprise data and analytics initiatives following industry standard practices and tools for the betterment of our global patients and customers.
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It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
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Sie sind als Consultant und MS Azure Cloud Developer für die Aufbereitung und Analyse von Daten in Azure Cloud sowie on Premises Umgebungen auf SQL-Server verantwortlich. Sie sollten sich sehr gut im Microsoft BI Stack sowie mit Cloud Technologien auskennen.
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Extensive experience with Bigquery or similar cloud warehouses (Snowflake, Redshift) Advanced working SQL knowledge and experience working with Cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.
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Docker and Infrastructure as Code experience with cloud-based computing, utilizing tools such as Terraform, Kubernetes and Helm. We’re looking for a Senior Software Engineer – Data Integrations who is a self-starter and energized by working on a dynamic team.
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If so, Apple's Global Business Intelligence (GBI) team is seeking a Software Engineer to work on building and scaling best in class data and reporting apps presenting metrics & performance indicators with the least latency and outstanding user experience.
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Title: cloud engineer Company: Xyleme in Snowflake, AZ
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The goal of an interview is to evaluate candidates based on their skills, personality, and knowledge. You want to choose the BEST candidate from your candidate pool, so the interview is something you can't mess up. As you begin planning your interview process, one of the major decisions you'll face is whether the interview should be a structured vs unstructured interview. So let's take a dive into the differences and sort out which circumstances warrant which interview process.
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