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In-depth understanding of Google Cloud services such as Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and more. Google Certifications (Google Certified Professional Cloud Architect, Google Certified Data Architect, or Google Certified Associate Cloud Engineer) – There is an expectation that a certification in Google Cloud will be necessary after hire.
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Google Cloud Platform - Professional Data Engineer, Google BigQuery, Hadoop Big Data Stack, UNIX Shell Scripting, Agile Methodology. Create and manage data storage solutions using Google Cloud Platform services such as BigQuery, Cloud Storage, and Cloud SQL.
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Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake) Must have practical experience assisting clients with one or more of strategic Data Architecture and Engineering, Cloud Data Modernization, Data migration and Event-driven architecture, preferably focused on financial services.
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Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification. Work with data team to efficiently use Google Cloud platform to analyze data build data models and generate reports/visualizations.
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Preferred Experience in Architecting and Designing solutions leveraging Google Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable and Tensorflow.
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Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in infrastructure-as-code tools such as Terraform or CloudFormation. Understand Cloud Native applications running on Kubernetes within AWS.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google's Vertex AI, Azure's AI tools, and AWS's Machine Learning services.
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Self-motivated and proactive, with a passion for learning and staying up-to-date with the latest cloud technologies. Certifications:Possess at least one relevant cloud certification (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Administrator Associate.
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Knowledge of automation technologies like Terraform, Google Cloud Deployment Manager. Develop and implement Google Cloud Platform (GCP) based solutions tailored to business needs.
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Expertise in Azure services, Oracle Integration Cloud (OIC), Virtual WAN (vWAN), Network Security Groups (NSG), and cloud-based routing and firewall solutions is essential. Develop and implement complex cloud environments, focusing on infrastructure as code (IaC) using tools like Terraform, ARM templates, or CloudFormation.
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Execute strategy by setting up, managing, tracking, and optimizing paid digital media campaigns across Paid Social, PPC, Search and programmatic ad channels on multiple platforms (Meta, TikTok, Google/YT, Bing, Pinterest, Reddit, Amazon, etc.
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PureSoftware is a global software products and digital services company that focuses on driving a differentiated customer experience, accelerating cycle time and improving business outcomes through an integration of digital solutions, robotic process automation, artificial intelligence, machine learning and IoT. Our solutions leverage next generation disruptive technologies to deliver competitive advantage to your business.
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Experience with Google Cloud – especially Data related PaaS offerings such as BigQuery, DataProc, DataFlow, AirFlow. Experience with Google Cloud – especially Data related PaaS offerings such as BigQuery, DataProc, DataFlow, AirFlow.
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Knowledge of Natural Language Processing (NLP), Deep Learning, and Knowledge Graphs is a plus, as is the ability to adapt pre-trained models to healthcare domains. Cloud Migration: Oversee the migration of existing data engineering processes to the AWS cloud platform, ensuring a seamless transition while minimizing downtime and maintaining data integrity.
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