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Leading the team through the life cycle of a D365 implementation providing key inputs during design, migrating data from external systems; conducting and supporting solution testing;building test cases; assisting with functional, system and user acceptance testing and conducting and supporting user and administrator training.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; Cloud based data and analytics native PaaS components in Azure, Google Cloud, AWS.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Working on cloud platform and solutions in infrastructure, Applications or Data technologies (GCP, AWS & Azure.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Microsoft Azure DevOps. We focus on contributing to PwC’s value proposition of “strategy led and technology enabled”, by aligning our Consulting Solutions’ industry focus with the Microsoft technologies such as Dynamics 365, Azure, Power Platform and Power BI.
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Showcases work experience as a Data Engineer, Data Architect or similar role, along with experience in programming languages including Python, PySpark, Scala, SQL. Azure Data Engineer Associate.
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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Google Cloud Platform, AWS, Azure); Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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As part of the team, you’ll focus on the architecture of data centres, including the design and implementation of network architecture and information storage to optimise innovation and programme delivery for our clients.
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Use data and insights to inform conclusions and support decision-making. A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Leading development of thought leadership and sales materials to grow the PwC Community, build new client relationships and business opportunities. To help us achieve this we have the PwC Professional; our global leadership development framework.
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Serving as both a mentor and advocate for your team and PwC Community; To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level.
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All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law.
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Supports in pipeline architecture and development using one of the tools such as Azure ADF, AWS Glue, SSIS, DataBricks (multiple preferred); Databricks Certified Data Engineer Associate.
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azure architect data jobs Company: Pwc
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