Custom Software Engineer at Accenture

Mumbai, Maharashtra, India

Accenture Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, ConsultingIndustries

Requirements

  • Minimum 7.5 years of experience (8 to 9 years preferred) in Data Modeling Techniques and Methodologies
  • Proficiency in Data Modeling Techniques and Methodologies (Must Have)
  • Strong understanding of database design principles and best practices
  • Experience with data integration and ETL processes
  • Familiarity with data warehousing concepts and methodologies
  • Ability to analyze and optimize data models for performance
  • 15 years full time education

Responsibilities

  • Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices
  • Lead the effort to design, build, and configure applications as the primary point of contact
  • Collaborate with various teams to ensure application development aligns with business objectives
  • Oversee project timelines and facilitate communication among stakeholders
  • Act as a Subject Matter Expert (SME)
  • Collaborate and manage the team to perform
  • Take responsibility for team decisions
  • Engage with multiple teams and contribute to key decisions
  • Provide solutions to problems for the immediate team and across multiple teams
  • Mentor junior team members to enhance their skills and knowledge
  • Facilitate regular team meetings to discuss progress, challenges, and solutions
  • Engage in problem-solving activities and provide guidance while ensuring best practices are followed

Skills

Data Modeling Techniques
Data Modeling Methodologies
Database Design
Agile Practices
Custom Software Development
Application Configuration
Team Leadership
Stakeholder Management
Problem Solving
Mentoring

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters
1989Year Founded
$8.5MTotal Funding
IPOCompany Stage
Consulting, Enterprise Software, CybersecurityIndustries
10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.
Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.
The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.
The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.
Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.
The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.
Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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