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Open nowPosted today

Enterprise Data Lake Systems Analyst

MyCareersFuture94,660 open roles

Pay
SGD 10,700 – SGD 13,500 a Monthly
Where
Central, Singapore
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Your applicationOpen nowEnterprise Data Lake Systems AnalystMyCareersFuture · 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

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.5%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.1%30 days
This job: posted today

MyCareersFuture median: 3 days open

The posting

We are seeking an experienced Data Engineer to design, integrate and support enterprise-scale data platforms and data-lake solutions. The role involves developing and optimizing complex ETL pipelines, integrating multiple upstream and downstream data sources, performing data transformation and reconciliation, and implementing data-quality and validation controls.

Key Responsibilities:

Design and enhance enterprise data integration and Data Lake solutions.

Develop and optimize ETL workflows using Informatica, DataStage and SQL.

Perform source-to-target mapping, data transformation, reconciliation and validation.

Work with Hadoop, Hive, Impala, Teradata, Oracle and Netezza environments.

Implement data-quality, metadata and data-governance controls.

Analyze complex datasets and resolve data discrepancies and integration issues.

Support SIT/UAT, production validation and technical defect resolution.

Optimize SQL queries, ETL processes and high-volume batch workloads.

Collaborate with technical, business and offshore/onshore teams to deliver enterprise data initiatives

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  1. A CV for this posting

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  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

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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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  5. Reply with AI

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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

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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?

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