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Open nowPosted today

Senior Data Engineer

EXCELTECH COMPUTERS PTE. LTD.

Pay
SGD 7,000 – SGD 10,000 a month
Where
East, Singapore
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Your applicationOpen nowSenior Data EngineerEXCELTECH COMPUTERS PTE. LTD. · 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 EXCELTECH COMPUTERS PTE. LTD.'s own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted today

The posting

Senior Data Engineer Work location- Paya Lebar

The Senior Data Engineer sits within the DSAD Platform and Architecture Team and is responsible for designing,

building, productionising and operating trusted data pipelines and reusable data products on the data platform using AWS and Databricks.

Experience: Typically 6–10 years of relevant data or software engineering experience, including hands-on design and

operation of production data pipelines and at least 2 years working with cloud-based data platforms.

• Strong Python, PySpark and SQL capability, including distributed processing, complex transformations, query

optimisation, debugging and automated testing.

• Hands-on experience with Databricks, Apache Spark and Delta Lake for production-scale batch or streaming

data engineering.

• Hands-on AWS data engineering experience with a relevant mix of S3, Glue, Lake Formation, IAM, KMS, Lambda,

Step Functions, EventBridge, CloudWatch, Redshift and MSK/Kinesis.

• Experience designing lakehouse or data-lake architectures, including layered data patterns, dimensional or

domain data modelling and reusable curated datasets.

• Experience implementing incremental ingestion, change data capture, idempotency, late-arriving data handling,

backfills, replay and recovery.

• Experience implementing data quality, schema validation, reconciliation, metadata and lineage as automated

parts of production pipelines.

• Experience with workflow orchestration, Git-based development, CI/CD, infrastructure as code such as

Terraform, and environment promotion controls.

Posting text belongs to the employer. Removal requests: contact us.

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