Cloud Data Engineering Manager
Accenture, Multiple Locations, Canada
Accenture drives innovation to improve the way the world works and lives.
•Minimum 5 years of designing, building and operationalizing large scale enterprise data solutions and applications using one or more of Azure / AWS / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, HDInsights, SQL DW, DocumentDB, Search, Elastic Pool etc.
•Minimum 5years of hands-on experience analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on Azure / AWS / GCP using AZURE/customservices.
•Minimum5 years of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala etc.
•High emphasis on consulting/client facing experience, this is a must have.
•Minimum 5 years of architecting and implementing next generation data and analytics platforms on Azure / AWS / GCP.
•Minimum 5 years of designing and implementing data engineering, ingestion and curation functions on Azure / AWS / GCP using AZURE native or custom programming.
•Minimum 5years experience in performing detail assessments of current state data platforms and creating an appropriate transition path to Azure / AWS / GCP.
•Hands-on Azure / AWS / GCP experience with a minimum of 1 solutions designed and implemented at production scale.
•Bachelor's degree in Computer Science, Engineering, Technical Science or 5+ years of technical architecture and build experience with large scale solutions.
•Minimum 5 years of experience in architecting large-scale data solutions, performing architectural assessments, crafting architectural options and analysis, finalizing preferred solution alternative working with IT and Business stakeholders.
•5 years of hands-on experience designing and implementing data ingestion solutions on Azure / AWS / GCP using custom approaches.
•5 years of hands-on experience architecting and designing data lakes on Azure / AWS / GCP cloud serving analytics and BI application integrations.
•5 years of experience in designing and optimizing data models on Azure / AWS / GCP
•5 years of experience integrating AZURE security services with Azure / AWS / GCP data services for building secure data solutions.
•Minimum 5years experience introducing and operationalizing self-service data preparation tools (e.g. Trifacta, Paxata) on AZURE.
•Minimum 5 years of architecting and operating large production Hadoop/NoSQL clusters on premise or using Cloud services.
•Minimum 5 years architecting and implementing metadata management on Azure / AWS / GCP.
•Architecting and implementing data governance and security for data platforms on Azure / AWS / GCP.
•Designing operations architecture and conducting performance engineering for large scale data lakes a production environment.
•Craft and lead client design workshops and provide tradeoffs and recommendationstowards building a solutions.
•Author blog entries and whitepapers on AZURE data solutions, architecture and strategic topics.
Work where you’re inspired to explore your passions, where your talents are nurtured and cultivated. Innovate with leading-edge technologies on some of the coolest projects you can imagine. And get the tools you need to keep learning and growing so you stay continually ahead of the game while making a difference in the world. With approximately 442,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives.
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