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Eclatprime Digital Hiring! Full Time Data Engineer - DevOps Engineer in Central Region (Singapore), Earn up to SGD 8,500 - Ricebowl

Data Engineer - DevOps Engineer

Eclatprime Digital

Tanjong Pagar, Central Region (Singapore)

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Working Location

  • Tanjong Pagar Central Region (Singapore) Singapore

Job Description

Responsibilities

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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