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.