Job Title: Data Engineer – Snowflake / Apache Iceberg / Python
Location: Singapore
Budget Range: SGD 8,000 – 12,000
Number of Positions: 2
Mandatory Skills: Strong hands-on experience in Data Engineering, Apache Iceberg, Snowflake, and Python.
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
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
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.
Must-Have Skills:
Apache Iceberg, Snowflake, Python, SQL, ETL/ELT Development, Data Engineering, Alibaba Cloud (preferred), Data Lakehouse Architecture
About Cognizant:
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.
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コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
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