Job Description
Need Healthcare experience (Claims,EDI)
About the Role
We are looking for a Senior Talend Developer with strong ETL/data integration expertise and full-stack development capability to design, build, and support enterprise data pipelines and backend services. The ideal candidate has hands-on experience with Talend 8 (or later), a solid Java/Spring Boot background, and proven production support experience — ideally within healthcare provider onboarding and payments systems.
Key Responsibilities
· Design, develop, and maintain ETL/data integration jobs using Talend (Data Integration / Big Data / Cloud), Control M , EDW
Build and support backend services and integration components using Java and Spring Boot
Design and optimize data models and queries across Oracle, PostgreSQL, Terradata and MongoDB
Develop event-driven and streaming data flows using Apache Kafka (producers, consumers, topic design)
Build, schedule, and monitor batch and real-time data pipelines feeding downstream healthcare/payment systems
Provide production support for both Talend jobs and Java/Spring Boot services — triage failures, perform root cause analysis, and implement fixes under SLA
Tune ETL job performance, troubleshoot data quality issues, and manage error-handling/retry frameworks
Collaborate with business and data teams to translate provider onboarding and payment/claims requirements into technical data flows
Write unit/integration tests, participate in code reviews, and maintain CI/CD pipelines for Talend and Java deployments
Document data mappings, job designs, runbooks, and support procedures
Participate in on-call/rotational production support
Required Skills & Qualifications
· Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
10+ years of professional experience in data integration/ETL development, with strong hands-on Talend expertise (Talend 8.x or later)
Solid development experience with Java and Spring Boot
Strong experience with Oracle, PostgreSQL, and MongoDB — schema design, query optimization, data modeling across relational and NoSQL systems
Practical experience with Apache Kafka in production data pipelines
Demonstrated production support experience — incident management, debugging live ETL/data pipelines and backend services, performance tuning
· Healthcare industry experience, specifically in provider onboarding and payment/claims processing systems — strongly required
Solid understanding of data integration patterns, batch/real-time processing, and error-handling frameworks
Experience with job scheduling/orchestration tools (e.g., Talend Management Console, Autosys, Airflow, or similar)
Familiarity with Git, CI/CD tools (Jenkins, GitLab CI, or similar)
Nice to Have
· Experience with AWS or other cloud platforms (S3, Lambda, RDS, MWAA/Airflow)
Exposure to monitoring/observability tools (Splunk, Grafana, ELK, CloudWatch)
Experience with microservices architecture and REST API development
Knowledge of HIPAA/regulatory compliance requirements in healthcare data handling
Experience migrating legacy ETL workloads to modern cloud-native pipelines
Soft Skills
· Strong analytical and problem-solving skills, especially under production incident pressure
Ability to communicate effectively with both technical and business/domain stakeholders
Ownership mindset — comfortable with on-call/rotational support responsibilities