Data Engineer
Kuala Lumpuronsitemid$15K – $17K
via Greenhouse
About this role
About the Role We are looking for a Senior Data Engineer with strong experience in modern data platforms and cloud-based architectures. The ideal candidate has deep hands-on experience with Snowflake or Databricks, has built scalable data pipelines, and is proficient in Azure cloud services. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT workflows. Develop and optimize data lake and data warehouse solutions using Snowflake and/or Databricks. Implement data ingestion, transformation, and processing frameworks for structured and unstructured datasets. Work closely with cross-functional teams (Data Analytics, Data Science, Product, Engineering) to support data consumption needs.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, snowflake, databricks, azure…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Kuala Lumpur. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlsnowflakedatabricksazurevaultgitteams
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