Data Engineer: Lakehouse & AI Delivery

SIMPLIFYNEXT PTE. LTD.; Singapore; In loco; SGD 90.000 - 140.000; Tempo pieno

Descrizione del lavoro

SimplifyNext PTE. LTD. is seeking a Data Engineer to design, build and deploy scalable data lakehouse platforms for clients. You will architect end-to-end pipelines and establish data quality frameworks across Databricks, Spark, Microsoft Fabric or AWS environments.

You will work with architects, AI engineers and business analysts on delivery, implement CI/CD and infrastructure-as-code, and ensure governance, security and cost control across data platforms used in regulated client environments.

Competenze

• 4+ years of hands-on data engineering experience in ETL/ELT or data platforms.
• Proven ability to design scalable pipelines on cloud data platforms.
• Experience with lakehouse architectures and open table formats.
• Strong SQL and Python proficiency; ability to translate business needs into technical designs.

Mansioni

• Design and implement scalable ETL/ELT pipelines on cloud platforms (AWS Databricks, Spark, or Fabric).
• Architect data lakehouse solutions using Iceberg, Delta Lake or S3 Tables.
• Define automated data quality and governance frameworks with monitoring.
• Develop production-grade code and deploy via CI/CD and IaC (Terraform/CloudFormation).
• Collaborate with architects, analysts and stakeholders; document designs and hand over to Day 2 ops.

Conoscenze

SQL proficiency

Python for data processing

Communication with stakeholders

DevOps for data

Data modeling for analytics

Problem solving

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Databricks

Apache Spark

Microsoft Fabric

AWS (Glue, Step Functions, Lambda, S3)

Redshift

Delta Lake

Apache Iceberg

S3 Tables

Descrizione del lavoro

SimplifyNext PTE. LTD. is seeking a Data Engineer to design, build and deploy scalable data lakehouse platforms for clients. You will architect end-to-end pipelines and establish data quality frameworks across Databricks, Spark, Microsoft Fabric or AWS environments.

You will work with architects, AI engineers and business analysts on delivery, implement CI/CD and infrastructure-as-code, and ensure governance, security and cost control across data platforms used in regulated client environments.