Enterprise Technology Architect

Posted:
9/24/2024, 5:22:40 PM

Location(s):
Pune, Maharashtra, India ⋅ Tamil Nadu, India ⋅ Chennai, Tamil Nadu, India ⋅ Maharashtra, India ⋅ Karnataka, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics ⋅ Software Engineering

Project Role : Enterprise Technology Architect
Project Role Description : Support sales teams in solution development, managing an internal matrix team to scope and price solutions. Lead customers through the design process. Work directly with Internal Accenture Domain Architects, Partner Architects, Client Architects, and Accenture project teams to design solutions.
Must have skills : Database Management
Good to have skills : MongoDB
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: A Reactive (transaction two-phase) engineer specializes in implementing and optimizing reactive systems, specifically focusing on transaction management for high-performance materialized views within data systems. Responsibilities include designing and implementing transactional workflows, ensuring data consistency and integrity, and optimizing performance through two-phase commit protocols and reactive programming paradigms Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Ensure continuous testing for security, API, and regression suite - Create automation strategy and develop automated scripts - Support data and environment configuration Professional & Technical Skills: - Must To Have Skills: Proficiency in Database Management - Good To Have Skills: Experience with MongoDB - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 5 years of experience in Database Management - This position is based at our Pune office - A 15 years full time education is required

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 750,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

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Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing