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Data Engineer – Snowflake / Apache Iceberg / Python

On-site in Singapore·Full-time·Added yesterday (last checked 23 Oct)

Cognizant

51 open roles

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Our summary

Work mode: On-site, Singapore
Contract: Full-time
Experience: 5+ years

Skills

Nice to have

Requirements

What we're looking for

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.

Nice to have

Experience in regulatory or data privacy-focused environments (PIPL/GDPR) is an added advantage.

The role

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.

What you'll do

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.

Must-Have Skills

Apache Iceberg, Snowflake, Python, SQL, ETL/ELT Development, Data Engineering, Alibaba Cloud (preferred), Data Lakehouse Architecture

About Cognizant

Cognizant is a global IT services and consulting company whose engineers, consultants, researchers and innovators turn ideas into AI and advanced technologies for client organizations. It serves a wide range of industries including automotive, banking, consumer goods, communications and media, healthcare, insurance, retail, manufacturing, and travel and hospitality.

Its work spans areas such as data and AI, digital engineering, business processes, and consulting, helping leading organizations convert ideas into action. The company describes a supportive culture focused on continuous learning and career growth.

Industry: IT Services
Website: cognizant.com

In their own words

About the company & team

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.

All open roles at Cognizant