About the position
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 Efficient 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 Modern Data Stack • Observability mindset: metrics, tracing, logging for data systems
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Fair Compensation
Fair pay and attractive terms
Onboarding
A Structured Start from Day One
A supportive team
Mutual Respect and Open Collaboration
Future Outlook
A Secure Job with Growth Opportunities
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