Walk-In Drive Data Engineer :

We're conducting a Walk-In Drive for the position of Data Engineer to join our Technology team. Skip the lengthy application process walk in, meet our team face-to-face, and take the next step toward building cloud-native data platforms within a fast-paced healthcare technology environment.

Walk-In Details :

- Date: Thursday, 10th September 2026

- Time: 10:00 AM - 6:00 PM

- Location: Bangalore

Key Responsibilities :

- Design, build, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark

- Work extensively with Delta Lake, Delta Live Tables, Unity Catalog, and Databricks Workflows

- Develop and optimize data pipelines using PySpark/Scala and Spark SQL

- Build and manage Structured Streaming pipelines for real-time data processing

- Work across the Azure ecosystem Blob Storage, Data Factory, Event Hubs

- Implement and maintain CI/CD pipelines using Git, Terraform, and Azure DevOps/GitHub Actions/Jenkins

- Monitor pipeline health and performance using Azure Monitor/Datadog

- Collaborate with globally distributed engineers, product, and business leaders

Required Skills :

- Databricks (Delta Lake, Delta Live Tables, Unity Catalog, Workflows), PySpark/Scala, Spark SQL, Structured Streaming, Azure Blob Storage, Azure Data Factory, Event Hubs, CI/CD (Git, Terraform, Azure DevOps/GitHub Actions/Jenkins), Azure Monitor/Datadog

Experience :

- 5+ years of hands-on experience in Data Bricks & spark & SQL & python

Education :

Computer Science or a related field, or equivalent technical experience

Role Category :

Data Engineering/ Senior Data Engineering

Location(s) :

Bangalore (role also open in Coimbatore)

Preferred Industry Background :

Product-based firms

Documents to Carry:

- Updated resume (2 copies)

- Valid photo ID

- Passport-size photograph

About the Role :

This position is with a US-headquartered healthcare technology company continually strengthening its software-driven revenue cycle management services - spanning coding, claims management, and business intelligence dashboards, powered by AI-driven automation.