is hiring for the position of Data Engineer through its official careers portal. This role is designed for professionals who want to work on enterprise data platforms, build scalable pipelines, and support analytics-driven transformation initiatives for global clients. The opportunity provides exposure to large-scale data ecosystems and modern cloud-based architectures within a leading technology services organization.
Role Overview – Data Engineer
- Position: Data Engineer
- Company: Wipro
- Location: India (Exact location as per job posting)
- Experience Level: Early Career / Experienced
- Qualification: Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, or related field
- Employment Type: Full-Time
- Domain: Data Engineering / Cloud Data Platforms / Analytics
The Data Engineer role focuses on designing, developing, and maintaining data pipelines and infrastructure to support business intelligence and advanced analytics use cases.
Purpose of the Data Engineer Role
The primary objective of this position is to build and optimize data architectures that enable reliable data flow, transformation, and storage. Data Engineers collaborate with analytics teams, data scientists, and business stakeholders to ensure high-quality, structured, and accessible data systems.
Key Responsibilities
As a Data Engineer at Wipro, your responsibilities typically include:
- Designing and implementing scalable data pipelines
- Developing ETL/ELT workflows for structured and unstructured data
- Integrating data from multiple internal and external sources
- Ensuring data quality, validation, and consistency
- Working with cloud-based data platforms and big data tools
- Optimizing database performance and query efficiency
- Collaborating with analytics and reporting teams
- Maintaining documentation for data models and pipelines
- Participating in agile project workflows
These tasks ensure seamless data availability for reporting and advanced analytics initiatives.
Technical Skills and Knowledge Required
To succeed in this role, candidates should ideally have:
- Strong proficiency in SQL and database management
- Experience with programming languages such as Python or Scala
- Knowledge of ETL tools and data integration frameworks
- Familiarity with cloud platforms such as AWS, Azure, or GCP
- Understanding of data warehousing concepts
- Experience with big data technologies (Spark, Hadoop – if applicable)
- Knowledge of version control tools such as Git
- Awareness of data governance and security standards
Hands-on project experience significantly strengthens candidacy.
Professional and Soft Skills
Wipro values professionals who demonstrate:
- Strong analytical and problem-solving abilities
- Clear communication skills for cross-team collaboration
- Ability to manage multiple data workflows simultaneously
- Attention to detail in validating datasets
- Ownership mindset and accountability
- Adaptability to evolving project requirements
These competencies are essential in enterprise data environments.
Daily Work Experience
A typical day as a Data Engineer may include:
- Reviewing and updating data pipeline scripts
- Debugging transformation errors or integration issues
- Collaborating with analysts to refine data models
- Running validation checks and optimizing queries
- Participating in sprint planning and technical discussions
- Monitoring performance metrics for data systems
This structured workflow builds both technical depth and operational understanding.
Who Should Apply
This role is suitable for:
- Early-career professionals with strong data fundamentals
- Experienced engineers seeking enterprise data exposure
- Candidates interested in cloud-based analytics ecosystems
- Individuals passionate about building scalable data solutions
Academic projects, internships, or professional experience in data engineering add significant value.
Work Culture and Learning Environment
Wipro offers a collaborative and performance-driven work culture where employees are encouraged to continuously upskill. Data Engineers work with cross-functional global teams and gain exposure to industry-standard tools and methodologies. Structured learning programs and real project experience help professionals grow technically and strategically.
Career Growth and Progression
Starting as a Data Engineer can lead to roles such as:
- Senior Data Engineer
- Cloud Data Engineer
- Data Architect
- Big Data Engineer
- Analytics or Platform Lead
Career progression depends on technical proficiency, system design expertise, and contribution to client projects.
Why This Role Is Valuable
- Exposure to enterprise-grade data platforms
- Opportunity to work on global digital transformation projects
- Strong foundation in cloud and big data technologies
- Career flexibility across analytics, engineering, and architecture roles
- Continuous learning and certification opportunities
How to Apply
Interested candidates should apply through Wipro’s official careers portal using the link below. Ensure your resume highlights data pipeline projects, SQL expertise, cloud exposure, and problem-solving skills.
Final Career Insight
The Wipro Data Engineer role offers a powerful opportunity for professionals who want to build expertise in data systems, cloud infrastructure, and enterprise analytics. With exposure to real-world client challenges and scalable platforms, this position provides a solid pathway toward advanced careers in data engineering and cloud architecture.
