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Salary
≈ $40k – $84k per year (Estimated)
Location
In office (Singapore)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 22, 2026. Cognizant scores A on the Alion truth index.

Overview
Company
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Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

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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