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Salary
≈ $16k – $40k per year (Estimated)
Location
In office (Bengaluru)
Experience
3+ years exp

First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
XCaliber Health is a health-tech firm that offers an AI-powered data platform to unify, automate, and streamline data and workflows, helping healthcare providers and payers improve efficiency and scalability.

Responsibilities:

  • Design, build, and scale data pipelines that power our Healthcare Data Fabric and AI-driven applications.
  • Work with data processing frameworks like Apache Spark, Databricks and dbt to transform and manage large-scale multi-modal healthcare data.
  • Engineer data models and hybrid retrieval systems across Iceberg, Hive, and Delta Lake, in conjunction with vector and graph databases to support analytical and agentic queries.
  • Build and optimise real-time and batch processing frameworks for high-performance data access.
  • Collaborate with teams to ensure seamless data flow while ensuring and implementing data quality, observability pipelines and lineage tracking.


Requirements:

  • Strong programming skills in Python (preferred) and Go.
  • Hands-on experience with Spark, Databricks, and dbt for building and managing data workflows at scale.
  • Familiarity with schema evolution, metadata management, and data versioning within Iceberg, Hive, or Delta Lake environments.
  • Hands-on experience with SQL/NoSQL databases, vector databases, and graph stores (Neptune, Neo4j, Kuzu).
  • Solid understanding of data modelling for analytical (OLAP) and transactional (OLTP) systems.

Skills

Apache Spark, Databricks, Spark, python

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