Data Engineer - Iceberg/Snowflake

Ventures Unlimited, Inc.

Singapore

On-site

SGD 120,000 - 190,000

Full time

9 days ago

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Job summary

Ventures Unlimited, Inc. is seeking an experienced data engineer to design and implement scalable data pipelines and lakehouse architectures in a distributed cloud environment.

You will build ETL/ELT solutions, maintain Snowflake data warehousing, and enable China-focused analytics on AliCloud. The role requires 5+ years in data engineering, strong Python and SQL skills, and familiarity with data governance and CI/CD practices.

Qualifications

  • 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 with Snowflake for data warehousing and analytics.
  • Advanced proficiency in Python and SQL development.

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, 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.
  • Monitor, troubleshoot, and resolve data platform and pipeline issues.
  • Contribute to best practices in DataOps, CI/CD, automation

Skills

Python
SQL
Data Engineering
ETL/ELT Development
Data Modeling

Education

Bachelor's degree in Computer Science or related

Tools

Apache Iceberg
Snowflake
Alibaba Cloud (AliCloud)
AWS services (S3, IAM, CloudWatch)

Job description

JobResponsibilities
  • 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.
  • Monitor, troubleshoot, and resolve data platform and pipeline issues.
  • Contribute to best practices in DataOps, CI/CD, automation
JobRequirements
  • 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-HaveSkills:

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

  • Good understanding of AWS services, data lakes, IAM, S3,CloudWatch, and monitoring.
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