HYDERABAD · FULLTIME
Senior Data Engineer
Virtusa Consulting Services
Hyderabad · onsite · Posted 5d ago
Sourced from
Not disclosed5–7 yrsfulltimeHyderabad
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Section · 01
About this role
Job Requirements
Role Overview
The Senior Data Engineer will build trusted real-time and historical data products for the Real-Time Finance Close and Value-Based Care platform. You will design streaming and batch pipelines integrating claims, encounters, eligibility, provider rosters, capitation, subledger, and GL data. The core objective is preserving financial/operational history, managing late-arriving and retroactive changes, and enabling point-in-time point reproducibility for accounting, actuarial analysis, Power BI reporting, Cube.dev semantic layers, and AI analytics.
Key Responsibilities
Pipeline Engineering: Design and deploy reliable batch, event-streaming, and CDC ingestion pipelines with automated patterns for schema evolution, replay-safety, quarantine, and reprocessing.
Streaming & Data Modeling: Build stateful/stateless transformations handling late events, watermarks, reattributions, contract amendments, and claim adjustments. Implement dimensional, Data Vault, lakehouse, or effective-dated/bitemporal models.
Data Quality & Controls: Implement automated control totals, reconciliation, and audit controls to guarantee completeness, validity, and line-of-business integrity across GL balances and data products.
Semantic & Platform Enablement: Deliver curated datasets optimized for Cube.dev, Power BI, and AI tools. Standardize business definitions (PMPM, IBNR, MCR, capitation). Enforce RBAC, encryption, masking, and PHI compliance.
Mandatory Qualifications
5+ years of data engineering experience with advanced SQL and Python, Scala, or Java.
Hands-on experience with Kafka and distributed processing engines (Spark, Flink, Beam).
Experience building batch/streaming pipelines on cloud platforms, lakehouses, or data warehouses.
Proficiency in dimensional modeling, data partitioning, incremental processing, and performance tuning.
Experience with orchestration, CI/CD, data-quality testing, production monitoring, and access controls.
Preferred Qualifications
Domain knowledge in healthcare claims, eligibility, capitation, sub-capitation, attribution, or value-based care.
Experience with financial accounting datasets (journals, subledgers, GL balances, reconciliations).
Familiarity with healthcare standards (X12 837/835, HL7, FHIR), dbt, Cube.dev, Power BI, and knowledge graphs/ontologies.
Work Experience
5-7Years
Role Overview
The Senior Data Engineer will build trusted real-time and historical data products for the Real-Time Finance Close and Value-Based Care platform. You will design streaming and batch pipelines integrating claims, encounters, eligibility, provider rosters, capitation, subledger, and GL data. The core objective is preserving financial/operational history, managing late-arriving and retroactive changes, and enabling point-in-time point reproducibility for accounting, actuarial analysis, Power BI reporting, Cube.dev semantic layers, and AI analytics.
Key Responsibilities
Pipeline Engineering: Design and deploy reliable batch, event-streaming, and CDC ingestion pipelines with automated patterns for schema evolution, replay-safety, quarantine, and reprocessing.
Streaming & Data Modeling: Build stateful/stateless transformations handling late events, watermarks, reattributions, contract amendments, and claim adjustments. Implement dimensional, Data Vault, lakehouse, or effective-dated/bitemporal models.
Data Quality & Controls: Implement automated control totals, reconciliation, and audit controls to guarantee completeness, validity, and line-of-business integrity across GL balances and data products.
Semantic & Platform Enablement: Deliver curated datasets optimized for Cube.dev, Power BI, and AI tools. Standardize business definitions (PMPM, IBNR, MCR, capitation). Enforce RBAC, encryption, masking, and PHI compliance.
Mandatory Qualifications
5+ years of data engineering experience with advanced SQL and Python, Scala, or Java.
Hands-on experience with Kafka and distributed processing engines (Spark, Flink, Beam).
Experience building batch/streaming pipelines on cloud platforms, lakehouses, or data warehouses.
Proficiency in dimensional modeling, data partitioning, incremental processing, and performance tuning.
Experience with orchestration, CI/CD, data-quality testing, production monitoring, and access controls.
Preferred Qualifications
Domain knowledge in healthcare claims, eligibility, capitation, sub-capitation, attribution, or value-based care.
Experience with financial accounting datasets (journals, subledgers, GL balances, reconciliations).
Familiarity with healthcare standards (X12 837/835, HL7, FHIR), dbt, Cube.dev, Power BI, and knowledge graphs/ontologies.
Work Experience
5-7Years
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Section · 02
Skills
Cube.devApache SparkScalaApache KafkaPerformance Tuningorchestrationapache flinkDimensional ModelingApache BeamProduction MonitoringAccess ControlsData Quality TestingData PartitioningPythonPower BiSQLJavaCi/CdIncremental Processing
Section · Company
About Virtusa Consulting Services
Virtusa Consulting Services
IT Services & Consulting
18.8k+
employees
1996
30 years old
Hyderabad / Secunderabad, Telangana
India
₹13.7L PA avg
Avg at Virtusa Consulting Services
About
Virtusa help clients change, disrupt, and unlock new value that surpasses their wildest expectations not just to reach our best, but to redefine yours.
Industries
IT Services & Consulting
Employee ratings
10 reviews
3.7/ 5
Culture
2.5
Career growth
2.0
Work-life
2.7
Employees rate it well for
Work-Life Balance37Overall Company37
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