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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Required Skills: Proficiency in programming languages - Java, JavaScript frameworks (Angular / React),Python (Current generation front-end and back-end languages) Cloud-native and agnostic designs and architectures across AWS and Azure AWS Stack – S3, Glue, EMR, Redshift, DynamoDB, Kinesis, Lambda, Athena etc.
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As a Lead Cloud Architect, you will be responsible for overseeing the migration of various applications and portfolio applications from their current environments to AWS, Azure, OCI, and GCP cloud platforms hosted in FedRAMP and FedRAMP+ environments.
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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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Familiarity with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL. Continuously evaluate new cloud technologies and data processing frameworks to enhance the feature store's capabilities, including integration with Azure-based services like Azure Data Factory, Azure Databricks, and others.
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Architect, design, develop and maintain data engineering solutions primarily utilizing Python, SQL and Apache Spark based platforms. Experience with Big Data platforms such as Databricks is a plus.
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Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, Databricks. Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask.
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Excellent knowledge of Python, Spark, and T-SQLHands-on experience on crafting and developing scripts for ETL processes and automation in Azure data factory, Azure Databricks and PySparkGood understanding of data modeling and ability to apply different techniques within a cloud platform.
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To help us achieve this we have the PwC Professional; our global leadership development framework. 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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Experience in the following technologies –Azure Data Factory and PowerBI. Wayne: For Pete’s Sake, Chester County Food Bank, Habitat for Humanity Chester County, Brandywine SPCA, as well as others.
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Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration, scalability, and cost-effectiveness. Strong proficiency in developing machine learning models using Python machine learning packages, Azure Databricks, and other Azure technologies.
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Experience with SWCM tools (Microsoft Azure DevOps Server (ADS) - Git, BitBucket, IBM Rational Team Concert (RTC), and/or IBM Rational ClearCase, Synergy, Jenkins, Artifactory. Additionally, SWCM is responsible for administration and user access for Change and Configuration Management toolsets (i.e. Atlassian Jira, Microsoft Azure DevOps Server (ADS), Git, etc.
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Experience with the Azure stack (Azure Data Factory, ADLS, Azure Databricks, Azure ML, and Azure SQL) to help build a modern platform for data that will be sourced from a variety of analytic and operational applications.
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Proven experience with LoadRunner, Selenium, Docker, Kubernetes, Jenkins, Azure DevOps, Veracode, MSFT Power Platform, MSFT Power Automate, and cloud platforms (Azure/AWS). Relevant certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, Certified Kubernetes Administrator) are a plus.
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Principal Enterprise Architect) to collaborate with different divisions and create a coalition/task force to reverse engineer products and look for inefficiencies. Working knowledge of Azure data platform – data factory, data catalogs, data lake, analytics, Azure storage options, Azure SQL, Cosmos DB, Azure DevOps, etc.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.
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azure architect big jobs Company: Pwc in Boston, MA
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