Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
Data Engineer
✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.
ICT
💰 Salary Not shared
📊 Market ₹60,000–₹150,000/mo (₹720,000–₹1,800,000/yr)
About the Company
Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately 70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way. Business Consulting and Services Specialties: Management Consulting, Systems Integration and Technology, Business Process Outsourcing, Application and Infrastructure Outsourcing
About the Role
As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. A typical day involves creating robust data pipelines, ensuring the integrity and quality of data, and implementing efficient ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability.
Responsibilities
- ● Design, develop and maintain data solutions for data generation, collection, and processing.
- ● Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
- ● Expected to be an SME.
- ● Collaborate and manage the team to perform.
- ● Responsible for team decisions.
- ● Engage with multiple teams and contribute on key decisions.
- ● Provide solutions to problems for their immediate team and across multiple teams.
- ● Mentor junior team members to enhance their skills and knowledge in data engineering.
Requirements
- ● Minimum 5 year(s) of experience is required.
- ● 15 years full time education.
- ● Proficiency in Data Engineering.
- ● Experience with Python (Programming Language).
- ● Experience with Generative AI.
- ● Strong understanding of data modeling and database design principles.
- ● Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- ● Proficiency in SQL and NoSQL databases for data storage and retrieval.
- ● The candidate should have minimum 7.5 years of experience in Data Engineering.
- ● Python, Azure data services, Databricks, vector databases, embedding pipelines for GenAI/RAG, data governance, security, and compliance frameworks, containerization, CrewAI, Azure DevOps.
Confirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
Saving to your tracker…
Stand out: message someone at Accenture.
A short, personal note to a recruiter can get your application looked at sooner.
⚡ Full Resume Sandbox Canvas