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Open nowPosted today

Data Engineer

MyCareersFuture95,505 open roles

Pay
SGD 8,000 – SGD 9,000 a month
Where
Central, Singapore
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Your applicationOpen nowData EngineerMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

10.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 8 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.0%3 days
  3. 10.1%7 days
  4. 15.8%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 8 days open

The posting

RoleOverview

Weare looking for a hands-on Data Engineer to design, build, and optimizescalable data pipelines on the Databricks Lakehouse platform. The role involvescollaborating with analysts, data scientists, and business teams to deliverreliable, analytics-ready data assets.

KeyResponsibilities

  • Build and maintain batch and streaming data pipelines using PySpark and Databricks.
  • Implement medallion architecture (Bronze, Silver, and Gold layers).
  • Optimize Spark jobs for performance and cost efficiency.
  • Ensure data quality, lineage, and governance using Unity Catalog and automated validation.
  • Integrate data from APIs, databases, files, and event streams.
  • Implement CI/CD, version control, and workflow orchestration.
  • Monitor, troubleshoot, and document data pipelines and data models.
  • Collaborate with stakeholders to translate business requirements into technical solutions.

RequiredQualifications

  • 3–5 years of hands-on data engineering experience.
  • Strong PySpark skills, including DataFrames, Spark SQL, UDFs, and performance tuning.
  • Proven experience building production pipelines on Databricks.
  • Working knowledge of Delta Lake, including ACID transactions, time travel, merge/upsert, and schema evolution.
  • Advanced SQL and strong Python programming skills.
  • Experience with Azure, AWS, or GCP cloud platforms.
  • Understanding of data modelling, Lakehouse architecture, and ETL/ELT patterns.
  • Familiarity with Git and CI/CD practices.

PreferredQualifications

  • Databricks Data Engineer Associate or Professional certification.
  • Experience with Unity Catalog, Auto Loader, and Structured Streaming.
  • Familiarity with Airflow, Azure Data Factory, or Databricks Workflows.
  • Knowledge of Terraform and testing frameworks such as pytest.
  • Exposure to Kafka, Event Hubs, dbt, or MLOps workflows.
  • Experience working in regulated or enterprise environments.

KeySkills

  • PySpark and Python
  • Databricks and Delta Lake
  • Advanced SQL
  • Data Pipeline Development
  • Medallion Architecture
  • Cloud Data Engineering
  • Data Quality and Governance
  • CI/CD and Git
  • Spark Performance Tuning

DesiredAttributes

  • Strong problem-solving and debugging skills. EA Number: 11C4879
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