Data Engineer- Mandatory Rhapsody integration engine/software

Phigital Care; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Phigital Care is seeking a data engineer with 4 to 5 years of hands-on experience in SQL and Python for data engineering. The role requires Azure data engineering services, Snowflake analytics layer development, and familiarity with Rhapsody integration engine.

The candidate will develop and maintain data pipelines, data cubes and data warehouses, and collaborate with the Data Architect, Project Manager and Product Manager to deliver robust analytical solutions.

Qualifications

• 2 to 4 years in data engineering with SQL and Python.
• Experience with cloud-based data pipelines and data warehouses, preferably Azure and Snowflake.
• Hands-on experience with the Rhapsody integration engine; HL7/FHIR parsing is an added advantage.
• SFTP-based read/parsing using Rhapsody is helpful.

Responsibilities

• Understand the high-level design document and comprehend the technical solution.
• Develop the ADF pipeline as per the HLD.
• Develop the analytical layer in the Snowflake analytics schema using the data mapping document.
• Unit test both the ADF pipeline and the analytics schema.
• Demo the solution built to the Data Architect, Project Manager, Product Manager, etc.

Skills

SQL

Python

Azure data engineering

Snowflake

Rhapsody integration engine

HL7/FHIR parsing

SFTP parsing with Rhapsody

Education

BE/BTech degree

Tools

Azure Data Factory

Snowflake

Rhapsody

Job description

Job Summary

4 to 5 years of hands‑on experience in SQL – advanced queries, Python for data engineering. Azure data engineering services is a must, Snowflake analytical layer development, DBT (nice to have). Should develop and maintain data pipelines, data cubes, and data warehouses. Hands‑on working experience with the Rhapsody integration engine is mandatory.

Reports To

Data Architect / Project Manager.

Key Responsibilities

• Understand the high‑level design document and comprehend the technical solution provided.
• Develop the ADF pipeline as per the HLD.
• Develop the analytical layer in the Snowflake analytics schema using the data mapping document.
• Unit test both the ADF pipeline and the analytics schema.
• Demo the solution built to the Data Architect, Project Manager, Product Manager, etc.

Technical Skills or Knowledge Areas

• SQL
• Python
• Azure for data engineering
• Snowflake for data warehousing / data cube development
• Rhapsody integration engine – must have hands‑on working experience
• Healthcare data parsing using Rhapsody (HL7, FHIR, etc.) – added advantage
• Rhapsody with SFTP‑based file read and parsing – helpful

Collaboration & Teamwork

• Familiarity with Slack communication, emails, JIRA/Kanban, and demoing technical deliverables.
• Experience with offshore – onshore collaboration models.

Process Improvement

• Ability to answer questions during the QA phase, review phase, and handle change management.

Compliance & Reporting

• Capability to create and improve low‑level design documents.
• Capacity to develop stakeholder understanding and training documents for the work performed by the developer.

Required Qualifications

• BE/BTech degree.
• 2 to 4 years in data engineering – must have SQL, Python for data engineering, and cloud‑based data pipeline / data warehouse tools. Preferably Azure and Snowflake.
• Must have hands‑on experience with the Rhapsody integration engine; healthcare data parsing (HL7, FHIR, etc.) and SFTP‑based read/parsing using Rhapsody is an added advantage.

Performance Metrics

• Timely delivery on user stories.
• Adaptability to a fast‑changing and evolving technical environment.
• Ability to grasp the proposed solution and actively participate in solutioning.
• Communication of blockers and troubleshooting of problems.
• Independent problem solving of low to medium technical issues.
• Daily communication.
• Team player who creates a positive, collaborative environment.