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Experience with Customer Data Platforms (CDP) like Segment, mParticle, Tealium AudienceStream or other industry leading CDP technology would be a plusHands-on experience with marketing platforms such as Google Analytics, Adobe Analytics, Marketo, HubSpot, Salesforce Marketing Cloud, etc would be a plusFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (S3, Redshift, BigQuery, etc.
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Net Core, MVC Strong experience in Azure DevOps, Visual studio, SQL Server, T-SQL, SSMS, SSIS, DTSX and SSRS Experience with data visualization tools – SSRS, Tableau, D3, COGNOS, and Power BI Experience with Oracle, Teradata, Google BigQuery, Google Cloud Platform, API development is a plus.
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Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
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Experience designing and building data pipelines using APIs, BigQuery and Streaming ingestion methods. As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark.
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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 Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. 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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Designing and implementing solutions across various Google Cloud Infrastructure and Hybrid Cloud services such as GCE, GKE, Cloud Run, Anthos, etc. Google Cloud Platform, AWS, Azure); Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode.
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Proficiency in digital analytics and visualization tools such as Google Analytics, Google BigQuery, Adobe Analytics, Appsflyer, Firebase, Sprinklr, PowerBI, Microsoft Azure's services for data warehousing and analytics.
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The Analyst will use the Google Cloud Platform (GCP) BigQuery and Microsoft Power BI tools to access data about our customers. 3+ years of experience programming in SQL. Google Cloud Platform (GCP) BigQuery experience combined with Microsoft SQL Server or commensurate experience preferred.
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Strong working knowledge of: Linux, Docker, Google Cloud Platform (GCP); PostgreSQL or MySQL, BigQuery; microservice architectures and distributed systems. Strong working knowledge of: Linux, Docker, Google Cloud Platform (GCP); PostgreSQL or MySQL, BigQuery; microservice architectures and distributed systems.
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Solid understanding of DevSecOps, Git integration, Code deployment using CI/CD pipelines, managing work in an agile environment using Azure Boards, Confluence. Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries.
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Utilize GCP tools, notably VertexAI and BigQuery, for deploying, monitoring, and scaling ML models. Extensive knowledge of GCP tools, especially VertexAI and BigQuery. Utilize GCP tools, notably VertexAI and BigQuery, for deploying, monitoring, and scaling ML models.
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Experience with Cloud data warehouses like BigQuery, Snowflake, Redshift preferred. Experience with Cloud data warehouses like BigQuery, Snowflake, Redshift preferred. System1 allows fully-remote work in the following approved locations: Arizona, Colorado, Georgia, Hawaii, Minnesota, Missouri, New Jersey, New York, North Carolina, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas and Virginia.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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