ACN – Digital – Analytics – Solutions AI – 06

from 7 to 9 year(s) of Experience
₹ Not Disclosed by Recruiter

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Posted: 37 days agoJob Applicants: Less than 10Job Views: 62

Job Description

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

Role:Solution Architect / Enterprise Architect

Salary: Not Disclosed by Recruiter

Industry:IT Services & Consulting

Functional Area:IT Software - DBA, Datawarehousing

Role Category:System Design/Implementation/ERP/CRM

Employment Type:Full Time, Permanent

Education-

UG:Any Graduate in Any Specialization

PG:Any Postgraduate in Any Specialization

Doctorate:

Company Profile

Accenture Solutions Pvt Ltd

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 514,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.
Company Info
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Contact Company:Accenture Solutions Pvt Ltd

Address:Plant 3,Godrej and Boyce Compound, MUMBAI, Maharashtra, India

Reference Id:51113

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