Senior Software Engineer (IC3) – Lakehouse / Batch Data Platform (Oracle Health
Data Intelligence, HDI)

Location: Bangalore, India

About the Role

Oracle Health Data Intelligence (HDI) is hiring a Senior Software Engineer (IC3)
to help build and evolve our next-generation Data Platform powering intelligent
AI agents at scale. This role is focused on lakehouse and batch
processing—designing reliable, scalable ETL/ELT pipelines and foundational data
platform services on OCI to ingest, transform, curate, and serve high-quality
healthcare data for analytics and AI workloads.

You’ll work closely with platform engineers, data engineers, and applied AI
teams to deliver durable, governed datasets and platform capabilities that
enable downstream product experiences.

Key Responsibilities

* Build and operate batch-first ETL/ELT pipelines that ingest and transform
data into curated lakehouse layers (e.g., raw → refined → curated).
* Design scalable data processing jobs using distributed compute frameworks
(e.g., Spark/Beam) with robust attention to correctness, performance, and




cost.
* Contribute to the architecture and evolution of our data lakehouse, including
data layout/partitioning, compaction strategies, schema evolution, and
backfills/reprocessing.
* Develop and maintain platform components for metadata management, dataset
publishing, and pipeline orchestration.
* Implement data quality validation, lineage/metadata capture, and operational
best practices (SLAs/SLOs, alerting, runbooks, auditing).
* Optimize pipelines for reliability and efficiency in a distributed
environment (idempotency, retries, incremental loads, late-arriving data
handling).
* Participate in code reviews, design discussions, and technical planning;
collaborate across teams to deliver end-to-end solutions on OCI.

Required Qualifications

* 4-7 years of relevant industry experience in software engineering and/or data
engineering.
* Strong programming skills in Java, Python with solid software en

📌 Senior Platform Software Engineer (Bengaluru)
🏢 Oracle
📍 Bengaluru