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Visakhapatnam · On-site · 5-8 Yrs · Sep 27
1 to 50 Employees · Port Melbourne, Australia
Hiring: Engineering
What employees say
+ Remote opportunity, 5 days/week, supportive seniors
− Sometimes the boundaries get distorted. Can be stressful sometimes
More reviews on the company profile.
Interview experience · Sr. Billing Analyst
In the complex world of healthcare, medical billers play a vital role in ensuring accurate billing, efficient reimbursement processes, and overall financial stability for healthcare providers. As you prepare to enter thi
Easy difficulty · Haryāna · 1 reports
More interview insightsJob description
Overview
Responsibilities Own and evolve the enterprise data architecture supporting operational, analytical, and AI workloads Design scalable data platforms for transactional databases, analytical data warehouses/lakehouses, and AI/ML data pipelines Define data models, integration standards, metadata management, and data lifecycle strategies Establish best practices for data engineerin
Responsibilities
- Design scalable data platforms for transactional databases, analytical data warehouses/lakehouses, and AI/ML data pipelines
- Define data models, integration standards, metadata management, and data lifecycle strategies
- Design, develop, and optimize robust ETL/ELT pipelines for structured and unstructured data
- Build reliable batch and real-time data integration pipelines from EHRs, Practice Management Systems, APIs, flat files, and third-party healthcare applications
- Develop and optimize workflows using tools such as Apache NiFi or equivalent orchestration platforms
- Ensure high data quality, integrity, consistency, lineage, and observability across all data platforms
- Support relational, NoSQL, and distributed data platforms
- Design and maintain data platforms supporting Business Intelligence, advanced analytics, and machine learning workloads
- Build data pipelines that enable AI/ML model training, feature engineering, vector databases, Retrieval-Augmented Generation (RAG), and LLM/SLM applications
- Collaborate with Data Scientists and AI Engineers to operationalize ML models and AI solutions
- Support MLOps and data versioning best practices
Qualifications
- Bachelor’s degree in computer science, Software Engineering, or a related field.
- 10+ years of experience in Data Engineering, Data Platform Engineering, or Data Architecture.
- Minimum 5 years of experience working with US Healthcare data, preferably Revenue Cycle Management (RCM), Claims, EHR, or Healthcare Analytics.
- Equivalent practical experience with demonstrated technical leadership will also be considered.
- Proven experience designing enterprise-s
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Job application FAQ
Last updated 4 October 2026
- How do I apply for Lead Data Engineer Visakhapatnam (India) at HealthRecon Connect?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. HealthRecon Connect may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Engineer Visakhapatnam (India) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Engineer Visakhapatnam (India) remote or on-site in Visakhapatnam, Andhra Pradesh?
- This listing is marked on_site with location Visakhapatnam, Andhra Pradesh. Confirm details on the job description before applying.
- What skills matter for this Lead Data Engineer Visakhapatnam (India) role at HealthRecon Connect?
- This is a lead Lead Data Engineer Visakhapatnam (India) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.