Job Responsibilities
Design, develop, and implement scalable data engineering solutions to support PIPL program requirements.
Build and maintain end-to-end ETL/ELT pipelines using Python, SQL, and modern data engineering frameworks.
Develop and manage data lakehouse architectures using Apache Iceberg and Snowflake.
Create and support a dedicated China data environment on Alibaba Cloud (AliCloud) for data processing, analytics, machine learning, and reporting workloads.
Automate data ingestion, transformation, validation, and reporting processes to improve operational efficiency.
Optimize data pipelines, storage, and query performance to ensure scalability and reliability.
Collaborate with architects, program leads, and business stakeholders to gather requirements and deliver data solutions.
Ensure data quality, governance, security, and compliance with PIPL and enterprise standards.
Monitor, troubleshoot, and resolve data platform and pipeline issues.
Contribute to best practices in DataOps, CI/CD, automation, and cloud-native data engineering.
Job Requirements
5+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
Strong hands-on experience with Apache Iceberg.
Proven experience working with Snowflake for data warehousing and analytics.
Advanced proficiency in Python and SQL development.
Experience designing and building ETL/ELT pipelines and data integration solutions.
Solid understanding of data lake, lakehouse, and data warehouse architectures.
Experience working with cloud platforms, preferably Alibaba Cloud (AliCloud).
Knowledge of distributed data processing technologies such as Apache Spark, Flink, or similar frameworks.
Experience with data modeling, performance tuning, and data quality management.
Familiarity with CI/CD pipelines, Git, and automation tools.
Strong analytical, problem-solving, and stakeholder management skills.
Experience in regulatory or data privacy-focused environments (PIPL/GDPR) is an added advantage.
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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.
