Software Engineering - Data, Lakehouse and AI Data Platform Engineer-Hyderabad-Analyst

About this role

Role Summary As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose. Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases. Key Responsibilities Pipeline Engineering Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform

Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability. Where needed, build reusable tooling to improve delivery, consistency and operational support. Ensure data pipelines are production-ready, well tested and operationally supportable

Data Modelling and Curation Develop raw, refined and curated datasets that support analytics, reporting and AI use cases. Apply sound data modelling principles to represent business entities, relationships and historical change accurately. Work with consumers to shape data products that are usable, well documented and aligned to business needs

Data Quality and Reconciliation Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets. Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise. Contribute to clear standards for testing, monitoring and issue resolution

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