Application Developer at Accenture

Chennai, Tamil Nadu, India

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, ConsultingIndustries

Requirements

  • Minimum 5 years of experience in IBM InfoSphere DataStage
  • Proficiency in IBM InfoSphere DataStage (Must Have skill)
  • Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks
  • Strong understanding of data integration and ETL processes
  • Experience with database management systems and SQL
  • Familiarity with data warehousing concepts and practices
  • 15 years full-time education
  • AI-first mindset to align AI capabilities with business objectives, ensuring scalability, responsible use, and value realization
  • Ability to troubleshoot and optimize application performance

Responsibilities

  • Design, build, and configure applications to meet business process and application requirements
  • Lead AI-driven solution design and delivery using GenAI and Agentic AI to address business challenges, automate processes, and integrate insights into workflows
  • Act as SME, collaborate, and manage the team to perform tasks
  • Take responsibility for team decisions
  • Engage with multiple teams and contribute to key decisions
  • Provide solutions to problems for immediate team and across multiple teams
  • Facilitate knowledge sharing sessions to enhance team capabilities
  • Monitor project progress and ensure timely delivery of application features
  • Collaborate with teams to gather requirements, develop features, and align applications with business objectives
  • Contribute to improving application performance and user experience

Skills

IBM InfoSphere DataStage
Generative AI
Agentic AI
Application Development
AI Solution Design
Enterprise Workflows

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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