Data Engineer

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• Data Pipeline Development
• Design, build, and maintain ETL/ELT pipelines for structured and unstructured data.
• Ingest data from multiple sources including databases, APIs, event streams, and flat files.
• Ensure data pipelines are scalable, fault-tolerant, and performant.

Data Modelling & Storage

• Design and implement data models (star schema, dimensional models, data vault).
• Develop and manage datasets in data warehouses, data lakes, and lakehouse architectures.
• Optimise data storage and query performance.

Cloud & Platform Engineering

• Build data solutions on cloud platforms such as AWS

• Work with technologies like:

• AWS Glue / Redshift

• Implement infrastructure-as-code where applicable.

Data Quality, Governance & Reliability

• Implement data validation, profiling, and quality checks.
• Monitor pipeline health, data freshness, and performance.
• Support data governance, lineage, and metadata management.

Collaboration & Enablement

• Work closely with:

• BI developers and analysts

• Data scientists and ML engineers

• Product and business stakeholders

• Translate business requirements into scalable technical solutions.

• Support reporting platforms such as Power BI and Microsoft Fabric

Security & Compliance

• Ensure data platforms comply with security, privacy, and regulatory requirements.

• Implement data access controls, encryption, and retention policies., 1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT 2 Team Management Productivity, efficiency, absenteeism 3 Capability development Triages completed, Technical Test performance Mandatory Skills: Data Science . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Apply now Start Please wait... Information at a Glance Get Job Alerts Receive notifications when we have open roles and get other relevant career news Join Us Explore open roles that match your interests and skills If you encounter any suspicious mail, advertisements, or persons who offer jobs at Wipro, please email us at . Do not email your resume to this ID as it is not monitored for resumes and career applications. Any complaints or concerns regarding unethical/unfair hiring practices should be directed to our Ombuds Group at . We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law. Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity. © 2026 Wipro Limited × Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Show More Details Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function:

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Core Technical Skills

• Strong experience with SQL and data modelling.
• Hands-on experience with Python for data engineering.
• Experience building ETL/ELT pipelines using modern frameworks.
• Knowledge of batch and streaming data processing.

Data Technologies

• Data warehouses (Snowflake,Redshift)
• Data lakes ( S3)
• Distributed processing ( Databricks)

Cloud Experience

• Strong hands-on experience with at least one cloud platform: - AWS
• Familiarity with DevOps and CI/CD pipelines for data workloads.
• Reliable and scalable data pipelines in production
• High-quality, trusted datasets for analytics and reporting
• Reduced data latency and improved data availability
• Strong collaboration with analytics and business teams