Job Summary
This role focuses on designing and optimizing robust data platforms using Apache Iceberg for a hi tech environment ensuring reliable data ingestion storage and access for analytics teams. The professional will work from office in a day shift collaborating with product and engineering partners to deliver scalable data solutions that improve decision making and support innovative digital services for global stakeholders.
Responsibilities
- Design and implement highly scalable data lake and warehouse solutions using Apache Iceberg to support complex analytics and reporting needs in a hi tech product ecosystem.
- Develop efficient batch and streaming data pipelines that ensure accurate ingestion transformation and partitioning of large data volumes while maintaining strong data quality standards.
- Optimize data storage layouts file formats and metadata management within Apache Iceberg environments to achieve improved query performance and resource utilization.
- Collaborate closely with product managers data analysts and software engineers to translate business requirements into well structured data models and reliable data services.
- Establish robust data governance practices including schema evolution strategies data retention rules and catalog management to maintain consistent and compliant datasets.
- Implement monitoring and alerting for data workflows by configuring metrics logs and health checks that proactively identify data integrity or performance issues.
- Create clear technical documentation covering data architecture diagrams pipeline specifications and operational procedures to support knowledge sharing and smooth onboarding.
- Support performance tuning activities by analyzing query patterns optimizing joins and aggregations and refining clustering strategies within the data platform.
- Coordinate with security and compliance teams to embed access controls encryption mechanisms and audit trails that protect sensitive information in line with hi tech industry expectations.
- Provide guidance to stakeholders on using curated datasets and semantic layers effectively so that analytics outcomes directly contribute to product innovation and customer experience improvements.
- Contribute to continuous improvement initiatives by evaluating emerging data technologies compatible with Apache Iceberg and proposing practical enhancements to the existing stack.
- Engage in cross functional discussions to ensure data solutions align with organizational objectives and create positive impact on digital services offered to society.
- Participate in on site collaboration sessions during regular day shifts to resolve data issues quickly and maintain high availability of critical analytical datasets.
Qualifications
- Bring strong hands on experience working with Apache Iceberg in production environments including design of tables partitions and snapshot management for reliable data storage.
- Demonstrate solid knowledge of data engineering concepts such as ETL development distributed processing and data modeling using tools common in modern data platforms.
- Apply practical expertise in hi tech domains such as software products or digital platforms by understanding typical data patterns telemetry needs and user analytics requirements.
- Utilize proficiency in English and Chinese Mandarin communication to collaborate effectively with global stakeholders through clear documentation and discussion in both languages.
- Exhibit experience with cloud or on premises data infrastructure administration that supports secure scalable and cost conscious deployment of analytical workloads.
- Show familiarity with data governance and quality frameworks that help enforce standards for accuracy completeness and timeliness across critical business datasets.
- Display capability to work fully from office during day shifts while coordinating closely with team members to deliver predictable and high quality data engineering outcomes.
Certifications Required
Preferred certifications include Apache Iceberg specialist training or vendor data engineering certification such as a cloud provider data engineer credential.
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.
Applicants must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for this position.
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.
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.
