Job Description

About Accenture:
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 514,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com

Requested Role Role Category Role Desc
Data Engineer / Full stack developer – python Data Engineer • Python
• Flask
• Docker
• REST API Development / Documentation
• NodeJS (Preferred)
• NoSQL DB (MongoDB Preferred)
• SQL DB (PostgresDB Preferred)
Analytics Solution Architect - Corporate Audit/IT Security Architect • Platform component
o SAP HANA (1st prio)
o MapR, or Hadoop eco-system in general (2nd prio)
• Requirement analysis & Data modelling
o Experience analyzing IT security related processes and requirements (Examples):
§ Access Management
§ Asset Management
§ Vulnerability Management
• Stakeholder mgmt.
o Managing expectations on Solution Access time (Performance) and Backlog/Sprint plans
o Structured requirement capturing & documentation
(Push back to stakeholder if requirements are not clear, or not submitted the ‘official’ way)
• Data sources
o Experience in leading integration of multiple data sources
§ of various types data - structured, unstructured, logs, etc.
§ through various methods – REST, SOAP, direct database, file transfer. BOT, etc.
• Leadership
o An junior SA is today leading a team of ~5 developers based in Bangalore
o You would mentor and support the junior Architect
Analytics Solution Architect - Supply Architect • Platform component
o SAP HANA & BODS
o MapR, or Hadoop eco-system in general (2nd prio)
• Requirement analysis & Data modelling
o Experience from supply related processes and requirements
o Support in translating business requirements into technical requirements
• Data sources
o Experience in leading integration of multiple data sources
§ of various types data - structured, unstructured, logs, etc.
§ through various methods – REST, SOAP, direct database, file transfer. BOT, etc.


Qualifications

Analytics Solution Architect – Project Delivery Architect • Platform component o SAP HANA & BODS • Requirement analysis & Data modelling o Experience from Product Delivery/System Integration related processes and requirements (Examples): § Project Performance – Forecast, Project finances & profitability metrices § Utilization/Billability § Job stage Pyramids § On-shore/Off-shore/Blended Rate • Stakeholder mgmt. o Managing expectations on Solution Access time (Performance) and Backlog/Sprint plans o Good presentation skills (Senior Mgmt presentations) • Data sources o Experience in leading integration of multiple data sources § of various types data - structured, unstructured, logs, etc. § through various methods – REST, SOAP, direct database, file transfer. BOT, etc. • Leadership o Lead/Scrum a team of ~2 developers based in Bangalore, to grow with increased number of requirements Data Analyst/Data Engineer Data Engineer Description: Develop and deliver visualization dashboards/ data solutions to support business needs & requirements by creating and optimizing data pipelines and data models for analytical solution’s data lake / data warehouses towards specific micro services. The data engineer will also have responsibility for all data ingress into data lake/DWH, maintain the correct content, format and integrities all through the lifetime of such data. Responsibilities: • Acumen for business flow understanding and expertise in data preparation and pre-processing • SQL knowledge and experience working with relational databases, query authorising (SQL) as well as a variety of other databases/date-sources. • Data exploration tools like Tableau is preferred. • Big data tools like Hadoop, Spark, Kafka, etc. • Data and Model pipeline and workflow management tools. • Stream-processing systems like Storm, Spark-Streaming, etc. • Object-oriented/object function scripting languages like Python, Java, C++, Scala, etc. Technical Skills: • Structured Query Language (SQL) • Microsoft Excel • Critical Thinking • R or Python-Statistical Programming • Data Visualization • Presentation Skills AI Architect Architect • Architect and have oversight of the design operations, such as the solution deployment, distribution, KPI monitoring, debugging, maintenance. • AI Architect's responsibilities include operationalizing AI, mapping requirements to implementation, selecting the appropriate technologies, and evaluating non-functional attributes such as security, usability, and stability. • AI Architect closes this data-to-insight-to-action loop, which requires deep understanding of the applications and integration infrastructure environment. • Closely understands mapping IT process to AI process. Influencing and working with stakeholders to establish and accelerate AI adoption. • Mapping requirements to implementation - Analyzing, coordinating, prioritizing and optimizing requirements come from diverse stakeholders, such as line-of-business users, Data Scientists, analysts, and administrators. Ensures they are implemented within current constraints. The implementation should satisfy current requirements and support future needs without significant rework. • Selecting technology - The AI Architect is responsible for selecting appropriate technologies from the many open source, commercial on-premises, and cloud-based offerings available. Integrating a new generation of tools within the existing environment is also crucial to help ensure access to accurate and current data. Because technology in this domain is evolving rapidly, another important responsibility of the AI Architect is ensuring that components can be replaced with well-suited alternatives that do not require any adjustment or downtime. • Evaluating non-functional attributes - When selecting technologies and building the AI platform, the AI architect needs to consider not only the functional requirements, but also the non-functional attributes of platform quality such as security, usability, and stability. The AI Architect plans, designs, and monitors these key characteristics of the AI platform to help ensure that it complies with enterprise standards and that it performs adequately as additional AI solutions are implemented.

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All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

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