| Job Title | Data Engineer (Azure ADF + Snowflake) |
|---|---|
| Category | IT |
| Location | Pune, Chennai, Mumbai (All Areas) |
| Company | Citiustech |
| Description | Job Title: Data Engineer Location: Mumbai, Pune, Bangalore, Chennai, Hyderabad Experience: 5 - 10 years Employment Type: Full-time Role Overview We are seeking a Data Engineer to support our enterprise data modernization initiative. This role involves building scalable Azure ADF ingestion pipelines, developing Snowflake-based ELT across Bronze/Silver/Gold layers, improving data quality, and powering analytics products. The engineer will collaborate with cross-functional teams to deliver secure, high-quality, and high-performance data solutions that enable clinical, operational, and financial insights. Key Responsibilities Design and develop Azure ADF pipelines to ingest data from EHRs, billing systems, HL7 feeds, CSV/flat files, and third-party sources. Implement metadata-driven ingestion patterns with ADLS landing/bronze zones. Build and optimize Snowflake ELT workflows using tasks, streams, stored procedures, and warehouse performance optimization. Transform Bronze Silver Gold layers following Medallion Architecture and business rules for RCM, ACO, patient/provider domains. Implement data quality checks, reconciliation logic, schema drift handling, and monitoring controls. Ensure HIPAA-compliant handling of PHI/PII using secure views, role-based access, and minimum necessary principles. Create datasets optimized for Power BI semantic models and enterprise reporting needs. Support DevOps processes: version control, pull requests, CI/CD, and release readiness using Azure DevOps. Collaborate with BAs, Data Modelers, BI developers, QA engineers, DevOps, and Architects in Agile/Scrum ceremonies. Maintain documentation, lineage, technical specs, and metadata using Purview or equivalent tools. Required Skills & Experience Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or related technical field (cloud/data certifications preferred). Snowflake (4+ yrs): ELT development, SQL tuning, warehouse optimization, micro-partitioning, clustering. Azure Data Factory (2+ yrs): Pipelines, Data Flows, triggers, parameterization, ingestion frameworks. Python (2+ yrs): File ingestion, parsing, API extraction, schema checks, DQ automation, orchestration helpers integrated with ADF. Understanding of healthcare data (HL7, claims, provider/member, encounters) is a plus. Strong knowledge of data quality controls, logging, monitoring, and error handling. Experience working in Agile/Scrum environments using Jira or Azure DevOps. Preferred Qualifications Experience with Medallion Architecture in data lake/warehouse environments. Exposure to data governance tools (Purview, Collibra, etc.). Knowledge of Power BI semantic modeling and enterprise reporting. Advanced certifications in Azure, Snowflake, or Data Engineering. Why Join Us Work on cutting-edge healthcare data modernization projects. Opportunity to design enterprise-scale data pipelines with Azure and Snowflake. Collaborative, Agile environment with strong focus on innovation and compliance. Competitive compensation and benefits package. |
| Salary | Not Disclosed |
| Last Date | 2026-02-12 00:00:00 |
| Apply Link | Click Here |
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