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Open nowPosted 10 days ago

Data Engineer (AWS, Central Location)

MyCareersFuture94,028 open roles

Pay
SGD 9,000 – SGD 10,000 a month
Where
East, Singapore
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Your applicationOpen nowData Engineer (AWS, Central Location)MyCareersFuture · East, 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.

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 10 days ago

The posting

Our client is looking for a Senior Data Engineer to design, build and operate enterprise-grade data platforms supporting analytics, data science and digital products. The role will contribute to data architecture, engineering standards and technical decision-making in a complex enterprise environment.

Responsibilities

  • Design, build and maintain scalable data architectures and pipelines for data ingestion, transformation and delivery.
  • Develop robust data models and reusable data capabilities for analysts, data scientists and applications.
  • Improve the reliability, security, performance, observability and maintainability of data platforms.
  • Evaluate technologies and architectural approaches, making sound technical trade-offs and contributing to engineering standards.
  • Champion modern engineering practices including automated testing, code reviews, CI/CD and Infrastructure-as-Code.
  • Collaborate with engineers, Product Managers, Data Scientists and analysts, while providing technical leadership, mentoring and knowledge sharing.

Requirements

  • 7+ years of experience in software/data engineering with strong Python and SQL skills.
  • Experience with AWS and modern data platforms such as Redshift, Snowflake, Databricks or BigQuery.
  • Strong experience in enterprise data architecture and engineering, including production data systems.
  • Hands-on experience designing data pipelines, data models, data warehouses, data lakes or lakehouse architectures.
  • Experience with data orchestration, transformation and modelling.
  • Strong understanding of production engineering practices including testing, CI/CD, monitoring, troubleshooting and data quality.

Good to Have

  • Experience with Apache Airflow, dbt and/or Apache Spark.
  • Strong knowledge of AWS data services and cloud infrastructure.
  • Experience with Tableau, Power BI or similar BI tools.
  • Knowledge of Infrastructure-as-Code, data observability, metadata, data catalogues or data lineage.
  • Experience working with sensitive or regulated data.
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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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3×

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