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
Things to know before you apply
- Work authorization: Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
- Accommodations: If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
- AI in hiring: We use artificial intelligence (AI) tools to help us screen and assess applications more efficiently. Our team performs additional human review and ultimately decides who moves forward in our hiring process.
- Open position: Unless otherwise stated, this job posting is for an open position on our team.
- Language proficiency: We ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
- Inclusion: 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, provincial or local laws.
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.
