Accenture Hiring: Data Engineer 2026:-
Accenture is hiring experienced professionals for the position of Data Engineer – Data Architecture Senior Analyst in Hyderabad, Telangana, India. This is a full-time opportunity for candidates with experience in Data Engineering, SQL, PL/SQL, Python, Business Intelligence, data analytics, and automation.
| Company: | Accenture |
| Job Role: | Data Engineer |
| Job Type: | Full-Time |
| Experience: | 2–5 Years |
| Salary: | As per company Standards |
| Application Deadline: | ASAP |
Role Overview:-
Accenture is hiring a Data Engineer – Data Architecture Senior Analyst to design, develop, and maintain data solutions for data generation, collection, processing, and analytics.
The selected candidate will work on building data pipelines, developing complex SQL and PL/SQL logic, implementing ETL processes, and creating data-driven solutions that support business decision-making.
The role also involves developing dashboards, analytical tools, workflows, and automation solutions using SQL, Python, and internal analytics platforms.
Candidates will be expected to provide technical guidance, review development work, collaborate with stakeholders, troubleshoot complex issues, and mentor junior developers.
Educational Requirements:-
Candidates must have completed 15 years of full-time education.
Relevant educational qualifications may include:
- B.E. – Computer Science
- B.Tech – Information Technology
- B.Tech – Computer Science and Engineering
- BCA – Computer Applications
- MCA – Computer Applications
- B.Sc – Computer Science
- M.Sc – Computer Science
- Other relevant technical or computer-related qualifications
Note: The job description specifies 15 years of full-time education but does not mention a mandatory degree specialization.
Key Skills:-
Technical Skills
- Data Engineering
- Oracle PL/SQL
- Advanced SQL
- Python Programming
- Data Pipelines
- ETL / ELT Processes
- Data Transformation
- Data Validation
- Data Modeling
- Business Intelligence
- Dashboard Development
- Data Analytics
- Workflow Automation
- Performance Optimization
- Google Colab
- PLX-Based Analytics
- Database Management
- Reporting Automation
Data Analytics & Cloud Skills
- BigQuery
- Looker
- Google Cloud Platform (GCP)
- Vertex AI
- Data Visualization
- Large Dataset Processing
- Analytical Processing
- Reporting Architecture
- Data Quality Management
- Data Integration
- Exception Handling
- Query Optimization
Professional & Functional Skills
- Business Analytics
- Technical Solution Design
- Requirement Analysis
- Data Architecture
- Analytical Problem-Solving
- Root-Cause Analysis
- Code Review
- Technical Documentation
- Production Support
- Quality Assurance
- Process Improvement
- Stakeholder Management
Soft Skills
- Strong verbal and written communication
- Analytical and problem-solving abilities
- Team collaboration
- Technical leadership
- Attention to detail
- Decision-making skills
- Time management
- Mentoring and coaching
- Ability to manage multiple priorities
- Cross-functional coordination
Roles & Responsibilities:-
1. Data Engineering & Solution Development
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Build and maintain scalable data pipelines.
- Implement ETL processes to extract, transform, and load data across different systems.
- Develop data processing solutions for large and complex datasets.
- Ensure data quality, accuracy, and reliability.
- Support data migration and deployment activities.
2. SQL & PL/SQL Development
- Develop advanced SQL queries for large datasets.
- Create complex joins, window functions, and data transformation logic.
- Implement data validation and exception-handling mechanisms.
- Optimize SQL queries to improve performance.
- Develop reusable database logic using Oracle PL/SQL.
- Perform data reconciliation and validation activities.
- Troubleshoot complex database and query-related issues.
3. Python Development & Automation
- Develop Python-based automation solutions.
- Build reusable scripts for data processing and validation.
- Automate repetitive analytical and reporting activities.
- Use Google Colab for Python-based development and processing workflows.
- Support analytical processing and data quality checks.
- Improve workflow efficiency through automation.
4. Dashboard & Business Intelligence Development
- Lead the design and development of PLX-based dashboards.
- Develop analytical tools, workflows, and reporting solutions.
- Convert business and analytical requirements into technical designs.
- Create data-driven insights to support organizational decision-making.
- Maintain dashboards and analytical systems to ensure availability and reliability.
- Improve reporting processes and dashboard performance.
5. Technical Leadership & Team Management
- Collaborate with team members and manage technical delivery activities.
- Provide technical guidance to developers and junior team members.
- Review SQL queries, Python code, dashboards, workflows, and documentation.
- Ensure development quality, performance, and maintainability.
- Mentor junior developers and support their technical growth.
- Identify reusable components and development standards.
6. Stakeholder Management & Requirement Analysis
- Work with techno-functional analysts, managers, consultants, and business stakeholders.
- Understand business requirements and translate them into technical solutions.
- Clarify project requirements and resolve technical ambiguities.
- Coordinate with cross-functional teams to ensure successful project delivery.
- Align technical solutions with business objectives.
7. Production Support & Continuous Improvement
- Support production issue resolution and troubleshooting.
- Perform root-cause analysis for technical issues.
- Identify and fix defects in data processes and analytical solutions.
- Support enhancement prioritization and implementation.
- Improve existing workflows, reporting processes, and automation solutions.
- Maintain technical documentation and development standards.
8. Data Security & Privacy
- Implement appropriate security measures for data solutions.
- Maintain data privacy and protection standards.
- Ensure sensitive information is handled securely.
- Support data governance and validation requirements.
- Maintain reliability and availability of analytical systems.
About Company:-
Accenture is a global professional services company providing solutions in technology, consulting, operations, digital transformation, and business strategy.
The company helps organizations improve business performance through cloud computing, data analytics, artificial intelligence, automation, and enterprise technology solutions.
Accenture works with clients across multiple industries to develop innovative technology solutions and support digital transformation initiatives.
Accenture Hiring: Data Engineer 2026 Application Process:-
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
