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Open nowPosted today

DATA ENGINEER

MyCareersFuture91,045 open roles

Pay
SGD 7,000 – SGD 9,000 a month
Where
East, Singapore
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Your applicationOpen nowDATA ENGINEERMyCareersFuture · 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

3×more interviews than doing it yourself with ChatGPT.

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. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted today

MyCareersFuture median: 1 days open

The posting

Key Responsibilities

  • Design, develop and maintain scalable data pipelines and data ingestion frameworks for large-volume datasets.
  • Develop data transformation and processing applications using Apache Spark, PySpark, Scala and Python.
  • Build and optimize data pipelines using Azure Databricks, Azure Data Factory, AWS EMR and related cloud services.
  • Work with Hadoop, HDFS, Hive, Snowflake, Teradata and Data Lake environments.
  • Develop batch and real-time data processing solutions using Spark Structured Streaming and Kafka.
  • Perform data extraction, transformation and loading across heterogeneous source and target systems.
  • Develop and optimize Spark SQL, HiveQL and SQL queries for performance and cost efficiency.
  • Design data models, partitioning strategies and scalable data storage architectures.
  • Build and manage workflow orchestration using Apache Airflow.
  • Implement CI/CD pipelines and automated testing using tools such as Jenkins, Docker, GitHub Actions and pytest.
  • Troubleshoot data pipeline, performance and production issues and implement sustainable solutions.
  • Collaborate with business stakeholders, architects and technology teams to understand requirements and deliver data engineering solutions.
  • Ensure data quality, reliability, security and operational stability across enterprise data platforms.

Required Skills

  • 6+ years of experience in Data Engineering / Big Data Engineering.
  • Strong hands-on experience with Apache Spark / PySpark.
  • Strong programming skills in Python and/or Scala.
  • Good experience with Hadoop, HDFS and Hive.
  • Experience developing ETL/ELT and data ingestion pipelines.
  • Strong SQL and data processing skills.
  • Experience with Azure Databricks, Azure Data Factory, AWS EMR or equivalent cloud data platforms.
  • Experience with Kafka / real-time streaming is an advantage.
  • Hands-on experience with Airflow and data pipeline orchestration.
  • Experience with Snowflake, Teradata, SQL Server or other enterprise databases.
  • Good understanding of Data Lake, Delta Lake, Data Warehousing and Data Modelling.
  • Experience with Git, CI/CD, Docker and automated testing.
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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against MyCareersFuture's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on MyCareersFuture's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    MyCareersFuture's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

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Before you press

Straight answers

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

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