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Data Engineer (Iceberg, Snowflake and Python)

6 000 – 11 000 $
Full time3–6 yearsHybridSingapore

Location

CECIL STREET, PRUDENTIAL TOWER

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About this job

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, AlibabaCloud (preferred), Data Lakehouse Architecture.

Market insight

77% above median
4 800 $

Based on 77 801 offers with salary for this country

Full salary breakdown

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