Data Engineer

Job description: Wipro’s dynamic approach to people, process, and technology has led them to be an industry leader for decades. Additionally, since 2006, Wipro has helped companies power their business with the cloud. We provide professional services that help enterprises move faster, rethink processes and change the way their employees work. We are looking for an experienced Data Engineer to design, build, and maintain scalable, reliable data pipelines and data platforms that support analytics, reporting, and advanced use cases such as AI and machine learning. Key Responsibilities • 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. Required Experience & Skills 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 Inclusion We don’t just look at your CV. We’re more focused on who you are and your potential. We also know that everyone has a life outside work, so we’re happy to discuss flexible working. And we’ll do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, speak to our talent acquisition team who will be happy to support you. Your Benefits: You will receive a competitive salary, a generous benefits package and training & development in areas to help you improve. Equal Opportunities: We are an Equal Employment Opportunity employer and makes all employment and employment -related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can’t wait to hear from you.