Job SummaryGCP Data EngineerRequirement 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.
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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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant. Additional employment information Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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