Data Engineer- Mandatory Rhapsody integration engine/software

Reports To

Data Architect / Project Manager.

Job Summary

4 to 5 years of hands-on experience in SQL - advanced queries, python for data engineering,

azure data engineering services is must snowflake analytical layer development, DBT (nice to

have) who can develop, and maintain data pipelines, data cubes and data warehouses. Hands-

on working experience with the Rhapsody integration engine is mandatory.

Key Responsibilities

Core Duties

Understand the high-level design document and be able to 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 – at least some hands-on working experience (must have)

Healthcare data parsing using Rhapsody (HL7, FHIR, etc.) – added advantage

Rhapsody with SFTP-based file read and parsing – helpful

Collaboration & Teamwork

Have familiarity with slack communication, emails, JIRA/Kanban, demoing technical

deliverables.

Offshore – onshore collaboration model familiarity.

Process Improvement

Should be able to answer questions during the QA phase, review phase and be able to handle

change management.

Compliance & Reporting

Should be able to create and improve the low-level design document

Should be able to create stakeholder understanding, training documents for the work done by

the developer.

Required Qualifications

Education & Certifications

BE/ Btech

Experience

2 to 4 years in data engineering – Must have SQL, Python for data engineering, any cloud-🡪

based data pipeline/ data warehouse tools

preferably Azure and Snowflake.🡪

Must have at least some 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 the user stories

Able to adapt to a fast changing and evolving technical environment.

Able to grasp the proposed solution and actively participate in solutioning.

Able to communicate the blockers and be able to troubleshoot the problem

Able to work to independently in solving low to medium technical problems

Able to communicate very everyday

Team player and able to create a positive, collaborative environment.