AIA - Kochi | Weekend Drive - In Person | 25th Sep 2026
Skill: GCP, BigQuery, Python
Experience : 6 - 8 Years
Job Summary
GCP Data Engineer
Requirement for N & P program .
Should have strong knowledge in GCP BigQuery and SQL.
Should be proficient with Python or R for data analysis.
Should have Strong knowledge and proven experience of data mining algorithms and statistical analysis.
Should have Ability to interpret complex data and present insights clearly.
Responsibilities
- Design robust data pipelines using Cloud Composer and PySpark to process payer data at scale and ensure timely availability of curated datasets for analytics consumers in day shift operations.
- Develop efficient data models in BigQuery and Cloud SQL that support complex payer reporting needs such as claims analysis utilization trends and cost optimization while maintaining high query performance.
- Implement data ingestion frameworks in Python to integrate diverse payer data sources including claims eligibility provider and reference data into Cloud Dataproc based processing workflows.
- Optimize PySpark and SQL transformations to reduce processing time and compute costs while preserving accuracy of key payer metrics and regulatory reporting fields.
- Build modular reusable code components for data validation cleansing and enrichment in Python so that payer data assets remain consistent reliable and ready for downstream consumption.
- Configure Cloud Composer workflows to orchestrate multi step data jobs across BigQuery Cloud SQL and Cloud Dataproc with clear monitoring and alerting for operational stability.
- Apply payer domain understanding to translate business rules such as benefit structures member attribution and claim adjudication logic into precise data transformations.
- Collaborate with product owners data analysts and actuaries to refine requirements and deliver data solutions that enable improved payer decision making and member service quality.
- Implement strong data quality checks and reconciliation processes that identify anomalies in payer datasets and prevent inaccurate insights from reaching business users.
- Ensure compliance with healthcare privacy regulations by applying appropriate data masking access controls and auditing across Cloud SQL BigQuery and related data services.
- Document technical designs data flow diagrams and transformation logic in a clear way that supports maintainability onboarding and future enhancements in a hybrid work environment.
- Troubleshoot production incidents in day shift and perform root cause analysis to prevent recurrence while communicating resolution steps to relevant stakeholders.
- Continuously evaluate new cloud features and data engineering practices that could improve performance resilience and value of payer data platforms.
Qualifications
- Show proven experience of six to ten years in data engineering or development roles using Cloud SQL BigQuery Cloud Composer Cloud Dataproc PySpark and Python for large scale data projects.
- Demonstrate strong proficiency in writing optimized SQL PySpark jobs and Python scripts with a focus on reliability reusability and cost efficient execution.
- Exhibit solid understanding of payer concepts such as claims lifecycle member enrollment provider networks and reimbursement methodologies and reflect this in technical solutions.
- Display experience working in hybrid work models that require effective remote collaboration clear documentation and proactive communication across distributed teams.
- Show familiarity with data warehousing dimensional modeling and analytical reporting patterns tailored specifically for payer and broader healthcare analytics use cases.
- Demonstrate ability to apply software engineering best practices including version control code reviews testing strategies and continuous integration for data projects.
- Exhibit strong problem solving skills attention to detail and a focus on building data solutions that meaningfully improve healthcare affordability access and outcomes.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
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