Application Lead at Accenture

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Minimum 3 years of experience in Data Warehouse ETL Testing
Proficiency in Data Warehouse ETL Testing (Must Have)
Experience with data integration tools and methodologies (Good to Have)
Strong understanding of data modeling concepts and practices
Familiarity with SQL and database management systems
Experience in performance testing and optimization of ETL processes
15 years full time education
Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks
Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization

Responsibilities

Lead the effort to design, build, and configure applications
Act as the primary point of contact
Collaborate with various stakeholders to gather requirements
Oversee the development process
Ensure applications meet specified needs and quality standards
Engage in problem-solving discussions
Provide guidance to team members
Perform independently and become a Subject Matter Expert (SME)
Actively participate/contribute in team discussions
Contribute in providing solutions to work-related problems
Facilitate knowledge sharing sessions to enhance team capabilities
Mentor junior team members to support their professional growth
Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges
Automate processes and integrate intelligent insights into enterprise workflows for measurable impact

Skills

Data Warehouse

ETL

Testing

SQL

Data Modeling

Database Management

Performance Testing

Data Integration

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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