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Open nowPosted yesterday

Data Engineer — AMK

MyCareersFuture94,028 open roles

Pay
SGD 4,500 – SGD 5,500 a month
Where
Central, Singapore
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Your applicationOpen nowData Engineer — AMKMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.9%7 days
  4. 14.2%14 days
  5. 34.1%30 days
This job: posted yesterday

The posting

Job Responsibilities

  • Analyse and migrate existing workflow integrations to new platforms.
  • Develop workflow orchestration, including triggers, routing, retries and exception handling.
  • Build automation for batching, pagination, looping and throttling.
  • Design and maintain ETL pipelines for file-based data ingestion into relational databases.
  • Perform schema validation, data quality checks and error reconciliation.
  • Develop data pipelines using cloud-based big data platforms and distributed processing frameworks such as Spark.
  • Support Lakehouse-based data environments for batch and streaming workloads.
  • Implement logging, monitoring and alerting for data pipelines and workflows.
  • Troubleshoot issues and participate in root-cause analysis and continuous improvement.
  • Work with application teams to understand data requirements and upstream/downstream dependencies.
  • Ensure data pipelines meet performance, reliability, security and governance requirements.

Job Requirements

  • 3–5 years of relevant experience in Data Engineering, Integration Engineering or a related role.
  • Experience with workflow orchestration or integration platforms.
  • Hands-on experience with ETL and file-based data ingestion.
  • Proficient in SQL and relational databases such as SQL Server.
  • Experience with Spark or other distributed data processing frameworks.
  • Experience with Python or other programming/scripting languages.
  • Understanding of batch and streaming data processing.
  • Experience with cloud platforms and managed data services.
  • Experience working with REST APIs, JSON and CSV.
  • Understanding of CI/CD for data and integration workflows.
  • Good understanding of data quality, error handling and pipeline reliability.

Good to Have

  • Experience with Lakehouse table formats, incremental processing and time travel.
  • Experience with Flink or Spark Streaming.
  • Familiarity with analytical query engines.
  • Experience in banking, financial services, manufacturing or other regulated environments.
  • Knowledge of data observability and data quality tools.
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