Custom Software Engineer at Accenture

Bengaluru, Karnataka, India

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

Requirements

  • Minimum 5 years of experience in Data Engineering
  • Proficiency in Data Engineering (Must Have)
  • Strong understanding of data pipeline design and implementation
  • Experience with ETL processes and data warehousing solutions
  • Familiarity with cloud-based data storage and processing technologies
  • Good to have: Experience with Microsoft Azure Architecture
  • Good to have: AWS Analytics
  • 15 years full time education

Responsibilities

  • Act as a Subject Matter Expert (SME)
  • Collaborate and manage the team to perform
  • Be responsible for team decisions
  • Engage with multiple teams and contribute to key decisions
  • Provide solutions to problems for 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
  • Lead the effort to design, build, and configure applications
  • Act as the primary point of contact
  • Collaborate with various teams to ensure project goals are met
  • Facilitate discussions to address challenges
  • Guide the team through the development process
  • Engage in strategic planning to align application development with organizational objectives
  • Ensure stakeholders are informed and involved in key decisions
  • 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 EngineeringMicrosoft Azure ArchitectureAWS AnalyticsData Pipeline DesignAgile PracticesSoftware DevelopmentTeam LeadershipMentoring

Questions & Answers

Common questions about this position

What is the minimum experience required for this role?

Minimum 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, with good-to-have skills in Microsoft Azure Architecture and AWS Analytics. Additional skills include strong understanding of data pipeline design, ETL processes, data warehousing, and cloud-based 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?

The role involves leading the team, making team decisions, collaborating with multiple teams, mentoring junior members, and facilitating team meetings as an Application Lead and SME.

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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