Data Engineer at Accenture

Hyderabad, Telangana, India

Accenture Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field (15 years full-time education)
  • Minimum of 5 years of experience working with MongoDB in a professional capacity (experience in migration required)
  • Strong understanding of database design principles and normalization
  • Proficiency in MongoDB query language (MQL) and aggregation framework
  • Experience with MongoDB replication and sharding
  • Familiarity with MongoDB administration tools such as MongoDB Compass and Ops Manager
  • Excellent problem-solving and troubleshooting skills
  • Ability to work independently and collaboratively in a fast-paced environment
  • Strong communication and interpersonal skills

Responsibilities

  • Design and implement MongoDB databases based on application requirements
  • Develop efficient MongoDB queries and indexes to optimize database performance
  • Troubleshoot and resolve issues related to database performance, concurrency, and scalability
  • Collaborate with software developers to integrate MongoDB databases with application code
  • Monitor and maintain database security and access controls
  • Perform database migrations, backups, and restores as needed
  • Stay up-to-date with the latest MongoDB features and best practices

Skills

MongoDB
ETL
Data Pipelines
Database Design
Query Optimization
Database Migration
Indexes
Backups
Restores

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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