AIA - Weekend Drive - BBSR 04th July 2026
Interview Location: Bhubaneswar
Mode Of Interview : Face to Face
Interview Date: 04th July 2026
Skill: Azure Databricks & Pyspark
Experience - 6 - 9 Years
Job Summary
This hybrid Data Engineer role focuses on designing and optimizing Databricks SQL and PySpark solutions for complex payer and Medicare Medicaid claims processing. The role spans data engineering analytics and quality assurance to ensure accurate claim insights that support compliant healthcare decisions and improved member outcomes.
Responsibilities
Data Engineering - Pyspark Data bricks
- Design scalable Databricks SQL and PySpark solutions that process large volumes of payer and Medicare Medicaid claims data to ensure reliable analytics outputs
- Develop robust data pipelines that ingest transform and aggregate claims information to support timely decision making for healthcare operations
- Optimize PySpark jobs and Databricks SQL queries to improve runtime performance stability and cost efficiency across the hybrid cloud environment
- Implement reusable data models and curated datasets tailored for claims adjudication analytics risk scoring and operational reporting needs
- Collaborate with business and product stakeholders to translate payer and claims requirements into detailed technical solutions that align with organizational goals
- Perform detailed data profiling and validation on Medicare Medicaid claims to identify anomalies gaps and quality issues before downstream consumption
- Create automated testing frameworks for Databricks SQL and PySpark components to reduce defects and maintain consistent quality across releases
- Document end to end data flows transformation logic and technical design decisions to ensure transparency maintainability and effective knowledge sharing
- Partner with analysts and data consumers to design efficient query patterns and dashboards that reveal actionable insights from claims trends and utilization metrics
- Ensure compliance with healthcare data policies by implementing appropriate access controls masking strategies and audit trails within the Databricks environment
- Troubleshoot production issues in Databricks jobs by analyzing logs dependencies and datasets to restore service with minimal impact to downstream users
- Coordinate with infrastructure and platform teams to align cluster configurations libraries and deployment processes with performance and reliability requirements
- Contribute to continuous improvement by recommending new Databricks features coding patterns and automation approaches that enhance team productivity and solution quality
Qualifications
- Exhibit advanced proficiency in Databricks SQL by crafting complex joins aggregations and window functions that support nuanced payer and claims analytic scenarios
- Demonstrate strong PySpark experience through hands on development of distributed data processing pipelines capable of handling large scale Medicare Medicaid claims datasets
- Apply deep understanding of payer operations and claims life cycle to design transformations that respect benefit rules payment logic and regulatory constraints
- Utilize practical knowledge of Medicare and Medicaid programs to ensure that analytic outputs support compliance reporting and value based care initiatives
- Bring eight to twelve years of professional experience in data engineering or advanced analytics roles with a focus on enterprise scale implementations
- Communicate effectively in hybrid work settings by coordinating work progress clarifications and issue resolutions with onsite and remote stakeholders during day shifts
- Adopt structured development practices including version control code reviews and documentation to improve reliability and long term maintainability of solutions
Sobre a Cognizant
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram resultados tangíveis e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em cognizant.ai ou @cognizant.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Informações adicionais de emprego
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Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.
