- Accenture Hiring Data Engineer Jobs
- Post Name: Data Engineer
- Company: Accenture
- Degree: B.E. / B.Tech / M.E. / M.Tech / MCA (Computer Science / IT preferred)
- Salary: 8 Lakh – 25 Lakh/- per annum (depending on experience)
- Location: All India (Hybrid/Onsite)
- Experience: 3-8 years
Company Overview
Accenture is a global professional services company with leading capabilities in digital, cloud, data, and security. With a workforce of more than 700,000 professionals in more than 120 countries, Accenture helps organizations build their digital core, optimize operations, and accelerate business growth. The company partners with customers across various industries to provide end-to-end technology and business transformation solutions.
Accenture is widely recognized for its strong work culture, innovation focus, and commitment to employee development. The organization invests heavily in emerging technologies, including artificial intelligence, big data, cloud platforms, and analytics. Employees benefit from structured learning programs, global project exposure,e and long-term career development opportunities.
Job Description: Accenture Hiring Data Engineer
Accenture is hiring skilled and analytical data engineers to design, develop, and maintain scalable data pipelines and data platforms. This role focuses on collecting, processing, and transforming large amounts of structured and unstructured data to support analytics, reporting, and machine learning use cases.
As a Data Engineer, you will work closely with data scientists, analysts, and business teams to ensure reliable data availability and performance. You will be responsible for building ETL processes, optimizing data workflows, and enforcing data quality and governance standards.
Key Responsibilities
- Design and build scalable data pipelines
- Develop ETL and ELT processes
- Manage data ingestion and transformation
- Optimize data performance and reliability
- Work with structured and unstructured datasets
- Collaborate with data scientists and analysts
- Implement data quality and governance checks
- Troubleshoot data pipeline issues
- Maintain technical documentation
- Support analysis and reporting needs
Eligibility / Criteria
| Requirement | Details |
|---|---|
| Education | B.E / B.Tech / M.E / M.Tech / MCA |
| Experience | 2 to 7 years of data engineering experience |
| Programming Skills | Python, SQL, Scala or Java |
| Big Data Tools | Spark, Hadoop, Kafka |
| Database Skills | SQL and NoSQL databases |
| Cloud Platforms | AWS, Azure, or GCP |
| ETL Tools | Experience with ETL frameworks |
| Analytical Skills | Strong problem-solving ability |
| Communication Skills | Good verbal and written communication |
salary and benefits
- Competitive salary package
- Performance-Based Incentives and Bonuses
- health insurance coverage
- Paid Holidays and Vacation Benefits
- Learning and Certification Program
- Exposure to global clients and projects
- flexible working arrangements
- Employee Welfare Initiative
- Inclusive and collaborative work culture
- career advancement opportunities
interview process
- Online Application and Resume Screening
- HR screening call
- Technical assessment or coding test
- technical interview
- managerial interview
- Final HR Discussion and Proposal Letter
documents to carry
- Updated Resume or CV
- Government-issued photo identity card
- Educational Certificate and Marksheet
- Experience letter and salary slip
- passport-sized photographs
- Technical Certification Documents (if applicable)
How to apply
Interested candidates can apply by searching for Data Engineer job vacancies through the official Accenture career portal. Applicants should submit a resume highlighting data engineering experience, tools, and project accomplishments.
Candidates can also apply through professional networking platforms, job portals, and employee referral programs. Referrals may increase your chances of scheduling an interview faster.
Applicants are advised to prepare data engineering concepts, SQL queries, and big data scenarios before the interview.
FAQ
1. Is this role suitable for newcomers?
This role typically requires prior experience in data engineering or related fields. Freshers with strong project experience may be considered for junior roles.
2. Does Accenture offer work from home option?
Accenture offers hybrid and flexible working options depending on project and client requirements.
3. What tools will data engineers work with?
You can work on Python, SQL, Spark, Hadoop, cloud platforms, and ETL tools.
4. What training programs are provided?
Yes, Accenture offers continuous learning, certification support, and upskilling programs.
5. What career development opportunities are available?
Data engineers can grow within Accenture into senior data engineers, data architects, analytics leads, or cloud specialists.
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