Toronto,

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture, and make delivering innovative work part of your extraordinary career. Business and Systems Integration professionals analyze, design and/or develop best practice business changes through technology solutions.

The Work:

+ Oversee efforts to provide solutions to digital-age data challenges facing clients in multiple industries

+ Use these technologies to revamp the current platform by re-engineering data acquisition, storage, processing, security, data management, governance, and analysis

+ Work with clients to define the future-state architectures of their data platforms and play a lead role in setting up a roadmap to reach that state

+ Spot and assess complex problems for area(s) you’re in charge of

+ Take part in setting strategic direction to set near-term goals for area(s) of responsibility

+ Possess a solid grasp of what’s involved in planning, scaling, deployment, and operations that are unique to Hadoop and other emerging modern data technologies

Job Description:

Data and Analytics professionals define strategies, develop and deliver solutions that enable the collection, processing and management of information from one or more sources, and the subsequent delivery of information to audiences in support of key business processes.

A professional at this position level within Accenture has the following responsibilities:

+ Design and build robust data pipelines using scalable tools and techniques (yes, we’re talking big data) to produce high quality data structures

+ Implement quicker data processing methods and integrate complex business logic compatible with daily or real-time/streaming frameworks

+ Increase automation and scaling of complex data sets based on the customer’s analytic use case, such as structured data delivery for business analysis, daily extraction of mission enabling data for data mining/exploration, and transforming data for applied intelligence to power impactful data visualizations

Qualifications:

•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.

Preferred Skills

•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.

Toronto,

Accenture is a global management consulting, technology services and outsourcing company. Combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world’s most successful companies, Accenture collaborates with its clients to help them become high-performance businesses and governments.

Working with Accenture in the United States,  you can join ranks with more than 211,000 people in 120 countries and work with clients in nearly every major industry worldwide, including 96 of the Fortune Global 100, more than three-quarters of the Fortune Global 500 and government agencies around the world. Accenture’s people build careers in different areas of business, specifically Consulting, Technology and Outsourcing, as well as within our internal corporate functions.

With the breadth of talent our people have, they not only build strong careers, they offer their talents and skills to help clients and communities around the world.

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