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An experienced Solutions Architect well versed in designing & modernizing big data architectures on Google Cloud Platform (GCP). Responsible for design, development, implementation, operation improvement and debug BI & Big Data Analytics environments on premise or on Google Cloud Management Platform.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Design and implement large-scale data lake solutions, leveraging cloud platforms such as AWS and Azure.
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Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage). Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow.
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Keyword: Cyber, Security, Compliance, I PCI, NIST, ISO, Compliance Manager, Google VPC, AWS Cloud, CISA, CISM, CISSP, AWS, Security Administrator. Experience with AWS, Google Virtual Private Cloud, Microsoft cloud services, OneDrive, SharePoint, and Visio, preferred.
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The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions.
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Experience in Big Data/Data Warehousing at scale- Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and infrastructure as code (e.g., Terraform, CloudFormation). Dice is the leading career destination for tech experts at every stage of their careers.
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Familiarity with deployments and integration of IAM solutions with public cloud providers (Azure, AWS, Google Cloud) Identity Federation, SSO, HCM (e.g., SAP, Workday) and IAM Data Integration.
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The ideal candidate will have a strong analytical mindset and the ability to derive actionable insights from a variety of data sources, including Salesforce, Google Analytics, and paid media platforms (Meta, Google Ads, TikTok.
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We are looking for adjunct faculty who can teach Graduate and Undergraduate courses in Information Systems and Technology (General IT, Software Development/Programming/Software Engineering Management, Data Management/Cloud Administration/Database, IT Project Management/Information Systems Management, Networking/Network Administration/Enterprise Network Management, Cybersecurity/Information Assurance/IT Security/Computer Security or Forensic Management.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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Seeking candidates with previous hands-on leadership experience, cloud and data marketplace solution design and delivery experience at scale (Snowflake, Databricks, Salesforce, Google/Amazon/Microsoft marketplaces), and external vendor oversight.
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4+ years of experience with Big Data technologies including Spark/Databricks, Hadoop, and varying types of Azure Storage. 8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel.
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google cloud big data jobs Company: Dice in Dallas, Anoka, Minnesota
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