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Open nowPosted today

Data Engineer / DevOps Engineer

MyCareersFuture95,505 open roles

Pay
SGD 6,000 – SGD 8,500 a month
Where
Central, Singapore
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Your applicationOpen nowData Engineer / DevOps EngineerMyCareersFuture · Central, Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on MyCareersFuture's own form.

The reply lands in your private mailbox

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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

Experience Requirements

• Total Data Engineering: 5+ years

• Databricks Specific: 1+ years of hands-on experience in production environments

• Enterprise Scale: Experience building enterprise-level scalable pipelines with Spark or Hadoop-based systems Required Certifications

Mandatory:

Databricks Certified Data Engineer Professional.

Highly Preferred: Apache Spark Developer Associate

Cloud (Optional): Professional-level certification in AWS.

Key Responsibilities:

• Design & Build: Develop robust Medallion Architecture (Bronze/Silver/Gold) pipelines using Lakeflow and Delta Lake

• Performance Tuning: Proactively monitor and tune clusters, jobs, and serverless compute to reduce latency and infrastructure costs

• Governance Integration: Ensure every data asset is correctly tagged, secured through ACL, and discoverable via Unity Catalog

• Code Review: Enforce software engineering best practices (unit testing, modular code, and documentation) within the data team

• Streaming & Ingestion: Implement real-time or near-real-time data ingestion using Structured Streaming and Lake flow Connect

• Observability: Monitor pipeline health and costs using system tables; set up alerts and dashboards for proactive issue detection.

Preferred Candidate Background:

• Distributed Systems: Proven track record with Open-Source Apache Spark, Flink, or Hadoop.

• Python-Centric: Advanced Python skills are a prerequisite; the project requires building complex logic that exceeds standard SQL capabilities.

• Engineering Mindset: Experience in refactoring legacy Big Data workloads into clean, testable, and optimized PySpark applications.

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