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Open nowPosted 2 days ago

Databricks Engineer – 12 months contract

MyCareersFuture91,045 open roles

Pay
SGD 7,000 – SGD 9,500 a month
Where
Singapore
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Your applicationOpen nowDatabricks Engineer – 12 months contractMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 1 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.1%30 days
This job: posted 2 days ago

MyCareersFuture median: 1 days open

The posting

Key Responsibilities

  • Design and build batch and/or streaming data pipelines using Databricks and AWS services.
  • Develop data processing across Bronze, Silver, and Gold layers using SQL, Python/PySpark, and Delta Lake.
  • Implement ingestion from APIs, files, databases, object storage, or other enterprise data sources.
  • Develop data transformations, dimensional or curated datasets, and reusable data-engineering components.
  • Implement data validation, reconciliation, error handling, logging, rerun/recovery, and monitoring.
  • Optimise Spark jobs, clusters, partitioning, and storage for performance and cost.
  • Support CI/CD, environment promotion, SIT/UAT, production deployment, documentation, and operational handover.
  • Collaborate with platform, application, BI, and data-governance teams.

Requirements

  • 3+ years of experience in data engineering or enterprise data-platform delivery.
  • Hands-on experience with Databricks, Apache Spark, PySpark, and SQL.
  • Experience with Delta Lake and layered data architecture such as Bronze/Silver/Gold.
  • Experience building production data pipelines with proper logging, error handling, and recovery.
  • Experience with AWS services such as S3, IAM, Glue, Lambda, Kinesis, or related services.
  • Good understanding of data modelling, data quality, and performance optimisation.
  • Databricks Workflows, Delta Live Tables, Unity Catalog, Auto Loader, or Structured Streaming.
  • Experience with APIs, XML/JSON, event or near-real-time ingestion.
  • CI/CD and infrastructure/configuration automation using Git-based tools.
  • Experience with Tableau, BI datasets, or data warehouse integration.
  • Databricks, AWS, data engineering, AI/ML, or GenAI-related certification(s).
  • Strong engineering fundamentals and willingness to learn.
  • Practical problem-solving and attention to data correctness.
  • Clean implementation, documentation discipline, and reliable delivery.
  • Ability to work in a fast-paced project environment and collaborate with different technical teams.
  • Ownership of assigned tasks and openness to technical guidance and feedback.
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