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Open nowPosted 14 days ago

Data Engineer

MyCareersFuture94,028 open roles

Pay
SGD 7,000 – SGD 9,500 a month
Where
Singapore
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Your applicationOpen nowData EngineerMyCareersFuture · 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

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.7% 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. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 14 days ago

The posting

Job Description & Requirements

🔑 Key Responsibilities

  • Design, develop, and maintain scalable data pipelines.
  • Build and optimize ETL/ELT workflows.
  • Develop and manage data warehouses and data lakes.
  • Integrate data from multiple sources.
  • Optimize database performance and data quality.
  • Collaborate with data scientists, analysts, and application teams.
  • Implement data governance and security best practices.
  • Monitor and troubleshoot data pipeline issues.
  • Automate data processing workflows.
  • Maintain technical documentation.

🛠 Technical Skills

  • Python, SQL, Scala
  • Apache Spark, Hadoop, Kafka
  • ETL/ELT Development
  • Data Warehousing
  • Snowflake, Redshift, BigQuery
  • AWS, Azure, Google Cloud Platform
  • Airflow, Databricks
  • SQL Server, PostgreSQL, MySQL
  • Git, Docker, Kubernetes

✅ Mandatory Requirements

  • 8+ years of Data Engineering experience.
  • Strong SQL and Python programming skills.
  • Experience with Spark and ETL frameworks.
  • Hands-on experience with cloud data platforms.
  • Knowledge of data warehousing concepts.
  • Experience with workflow orchestration tools.
  • Understanding of data modeling and optimization.
  • Familiarity with Agile methodologies.

🎯 Core Competencies

  • Data Engineering
  • ETL/ELT Development
  • Data Warehousing
  • Cloud Platforms
  • Big Data Technologies
  • Database Management
  • Performance Optimization
  • Data Modeling
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