Custom Software Engineer at Accenture

Bengaluru, Karnataka, India

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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 in Data Engineering
15 years full-time education
Proficiency in Data Engineering (Must Have)
Experience with Responsible AI (Good to Have)
Strong understanding of data pipeline architecture and ETL processes
Experience with cloud platforms such as AWS, Azure, or Google Cloud
Proficiency in programming languages such as Python, Java, or Scala
Familiarity with data warehousing solutions and big data technologies

Responsibilities

Expected to be a Subject Matter Expert (SME)
Collaborate and manage the team to perform
Responsible 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 implement necessary adjustments to meet deadlines
Lead the effort to design, build, and configure applications
Act as the primary point of contact
Collaborate with various teams to ensure project milestones are met
Address challenges that arise
Provide guidance to team members to foster a productive work environment
Engage in strategic discussions to align project goals with organizational objectives
Ensure applications meet highest standards of quality and functionality
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to business needs

Skills

Key technologies and capabilities for this role

Data EngineeringETLData Pipeline ArchitectureResponsible AIAgile PracticesCustom Software Development

Questions & Answers

Common questions about this position

What is the minimum experience required for this role?

Minimum 7.5 years of experience in Data Engineering is required.

What are the must-have and good-to-have skills for this position?

Must-have skills include Proficiency in Data Engineering; good-to-have skills include Responsible AI. Additional skills encompass strong understanding of data pipeline architecture and ETL processes, experience with cloud platforms like AWS, Azure, or Google Cloud, proficiency in Python, Java, or Scala, and familiarity with data warehousing and big data technologies.

Is this position remote or office-based?

This position is based at our Bengaluru office.

What is the educational qualification required?

15 years full time education is required.

What leadership responsibilities does this role involve?

As an Application Lead, you will lead the effort to design, build, and configure applications, collaborate and manage the team, be responsible for team decisions, engage with multiple teams, provide solutions to problems, facilitate knowledge sharing, and monitor project progress.

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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