Title: AIA - Chennai - In person Weekend Drive.
Skill: GCP,BigQuery + Python.
Experience: 6 to 8years.
Interview Location: Chennai.
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 and implement scalable data pipelines using Cloud Composer and Cloud Dataproc to process high volume payer data sets for analytics and reporting needs
- Develop and optimize PySpark jobs that transform complex healthcare claims and member data into accurate and reliable curated data assets for downstream consumers
- Build efficient data models in BigQuery and Cloud SQL that support payer use cases such as cost analysis utilization management and quality of care metrics
- Implement robust Python based utilities and frameworks that standardize data ingestion validation and orchestration workflows across multiple payer data sources
- Optimize query performance in BigQuery and Cloud SQL by refining schemas tuning queries and applying partitioning and clustering strategies to reduce latency and cost
- Collaborate with product owners and business analysts from the payer domain to translate requirements into technical designs and deliver data solutions with clear value
- Ensure data quality by creating validation rules reconciliation checks and automated monitoring for payer specific metrics across all stages of the data pipeline
- Apply secure development practices to protect sensitive payer information through configuration of access controls encryption and privacy aware data handling patterns
- Create clear technical documentation that explains data flows transformation logic dependencies and operational runbooks for all implemented solutions
- Work closely with operations and support teams to troubleshoot production issues implement fixes and enhance resilience of cloud based data workflows
- Contribute to continuous improvement by identifying opportunities to simplify pipelines reduce manual steps and leverage new capabilities in the cloud data ecosystem
- Participate in agile ceremonies and provide accurate effort estimates progress updates and risk identification to enable predictable delivery in the hybrid work model
- Mentor peers through code reviews and knowledge sharing sessions focused on best practices in PySpark development BigQuery optimization and payer domain patterns
Qualifications
- Demonstrate strong proficiency in Python programming with experience building reusable modules error handling patterns and integration with cloud native services
- Exhibit deep hands on experience in PySpark with the ability to design performant transformations manage large datasets and debug complex distributed processing issues
- Show proven capability in BigQuery including data modeling query optimization cost management and development of analytical datasets for business intelligence
- Possess practical expertise in Cloud SQL and Cloud Dataproc configuration job orchestration and environment tuning to support reliable daily production workloads
- Display applied experience with Cloud Composer for workflow orchestration including dependency management scheduling and operational monitoring of data pipelines
- Bring solid understanding of payer domain concepts such as claims processing eligibility benefits provider networks and associated data structures
- Hold experience working in hybrid delivery models and collaborating effectively with cross functional teams using agile methods for planning and execution
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
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.
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.
