Exp:5+ Years Job Location: Hyderabad(WFO) JD: You’ll work closely with our Platform Architect with an initial focus on
Data replication and CDC for time-sliced access to data
Implementing data pipelines for different consumers
Designing and implementing our Lakehouse (Iceberg+ Trino)
Provisioning data specific features (e.G. databases, feature stores, model registries, …) to support AI/ML initiatives
Enforcing data quality and lineage across batch & streaming
Scaling across deployments (SaaS, hybrid, federated) with interoperability & integration in mind
Result offering data stores and access APIs Qualifications
5+ years in data infrastructure, platform engineering, or related backend roles.




Deep knowledge of o Data replication & CDC o Distributed processing (Spark/Trino) o Lakehouse/warehouse design (Iceberg/Delta + Trino) o Effective storage design (partitioning, Z-ordering, compaction) o Schema & data contract governance o Document stores (cosmos DB, MongoDB)
Proficient in Python, solid engineering fundamentals (testing, modularity, performance)
Familiarity with infrastructure as code (Bicep)
Familiarity with the Contemporary Data Stack
Observability mindset: metrics, tracing, logging for data systems

📌 Data Platform Engineer Mahbubnagar (India)
🏢 Talent Smart
📍 India