Primary Responsibilities:
Prepare detail design for the Solution by discussing with PO and business. Consult with Business, Subject Master Expert, users to evaluate business requirements, evaluate existing or proposed systems, and prepare detailed technical design document from which programs will be written
Walk-thru the technical design document with Business/SME/QA group and support team
Prepare test planning setup test data. Execute test planning based on project requirements
Ensuring timely deliveries for all assigned tasks
Participation in Design reviews, Test Case reviews, and Production Support readiness reviews for new releases
Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
Adhere to all quality requirements
Be able to work independently
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work perks and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business setting). The Company may adopt,



vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:
B.E/MCA/B.Tech / MTECH /MS Graduation (16+ years of formal education, Correspondence courses are not relevant)
7+ years of experience as Data Engineer: Solid knowledge on PySpark, Databricks, Solid Azure Cloud knowledge. Design, develop, and optimize scalable data pipelines using PySpark on Databricks. Build, schedule, monitor, and troubleshoot Databricks jobs and workflows. Experience with AI/ML concepts, especially agent creation (LLM-based agents, decision logic, orchestration), ability to integrate AI solutions into data pipelines or platforms
Valuable knowledge of Agile practices
Good attitude and self-motivated
Demonstrated ability to identify system changes and verify that technical system specifications meet the business requirements
Demonstrated solid problem solving, analytical kills
Proven excellent communication and presentation skills
Adaptable to work in evening shift (11:30 am - 8.30 pm)

Preferred Qualification:
Any knowledge of health care industry

📌 Data Engineering Consultant Hyderabad
🏢 Optum
📍 Hyderabad