Custom Software Engineer at Accenture

Hyderabad, Telangana, India

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

Requirements

  • Minimum 5 years of experience in Data Engineering
  • Proficiency in Data Engineering (Must have skill)
  • Good to have: Python (Programming Language), AWS Lambda Administration, PySpark
  • Strong understanding of data pipeline architecture and ETL processes
  • Experience with data warehousing solutions and database management systems
  • Familiarity with cloud platforms and their data services
  • 15 years full time education

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
  • Mentor junior professionals to foster their growth and development
  • Develop custom software solutions to design, code, and enhance components across systems or applications
  • Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs
  • Interpret system requirements and translate them into detailed design specifications, ensuring solutions meet functional and technical needs
  • Collaborate with various teams to refine specifications and contribute to overall project success
  • Stay updated on industry trends and advancements to enhance contributions

Skills

Data Engineering
Python
AWS Lambda
PySpark

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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