Lead Software Engineer

HealthEdge Software, Inc.; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

HealthEdge Software, Inc. is seeking a Data Engineering Team Lead for our Cloud Data Engineering Team.

You will design, implement, and test cutting-edge cloud data services, while coaching a team to deliver scalable, reliable data solutions. You will collaborate with business and technical partners to establish and maintain high-value data assets, leveraging ETL/ELT, SQL, Python, and Airflow within a hospital-provider data context.

Qualifications

• 8+ years of hands-on experience in data engineering.
• Experience in designing, building, and testing cloud data services.
• Strong knowledge of database structures and data warehousing concepts.
• Proven ability to lead and coach a data engineering team.

Responsibilities

• Lead the technical design, building, and testing of cloud data services to meet performance, scalability, reliability, and security needs.
• Provide data integration SME to the team covering ETL/ELT and explain business value of solutions.
• Conduct design, code review, and test case reviews to raise delivery quality and guide the team.

Skills

Data integration

Data modeling

Data pipelines

Communication skills

Leadership

Education

BE in computer science or equivalent

Tools

Informatica

Talend

SSIS

Azure Data Factory

Airflow

Job description

Overview

Summary:

You will join a team charged with building our new product in the Provider

Data Management space. This is an incredible opportunity to help solve a significant

problem in the healthcare industry. Customer empathy and user-centric design will be a

priority. The ideal candidate will be excited about working on product development, is

comfortable pushing the envelope and challenging the status quo, setshigh standardsforhim/herself and others, and works well with ambiguity.

Position Overview:

HealthEdgeis in search of a Data Engineering Team Lead to join our Cloud Data

Engineering Team. The role focuses on designing, implementing, and testingcutting-edgetechnical data solutions. The Data Engineering team collaborates with business andtechnical partners toestablishand maintain high-value data.

As the Data Engineering Team Lead, you will work closely with all team members to createa modular, scalable solution that addresses current needs, but will also serve as afoundation for future success. You will be critical in building the team’s engineering

practices in test-driven development, continuous integration, automated deployment andis a hands-on team member who actively coaches the team to solve complex problems.

She / he willbe responsible forthe design, development, performance, and support of thecloud data services.

What you will do:

• Lead the technical design, building, and testing of cloud data services; allowing

them meet performance, scalability, reliability, and security needs.

• Responsible for working with data asset-related technology that has been approved

by the architecture team to move, transform, andvalidatedata between systems

andAWSCloud.

• Provide data integration subject matterexpertiseto the team covering ETL/ELT. Can explain complex concepts to othersandestablishbusiness value of solutions.
• Complete design, code review, and test case reviews to improve and set the bar for

the quality of the delivery. Providing guidance for the engineering team while

designing the data integration applications.

• In-depth knowledge of database structures/ data warehousing principles, and

experience in SQL across different platforms including structured and unstructured

data from various enterprise sources.

• 8+ years of hands-on experience in data engineering.
• Understand batch and real-time data integration patterns include ETL experience

(Informatica, Talend, SSIS, Azure Data Factory, etc.),SQL,data

streaming, etc.

• Experience in writing and executing complexSQL’s.
• Programmer experience in python procedural programming
• Experience with building DAGs in Airflow
• Proven technical skills in datamodeling, data management, data pipelines, ETL/ELT
• Hands-on experience integrating AI tools into daily workflows - including code generation, automated testing, documentation, and process automation - with the ability to evaluate, adopt, and adapt emerging AI technologies to improve team productivity.
• Strong communicationskills both written and verbal, with ability to communicate or

convey the results to audience at all levels.

• B.E. in computer science or equivalent experience

Bonus points:

• 3+ years ofHealthcaredomain experience, preferably withexpertisein provider data
• Familiarity with HL7 FHIR data standard