Databricks Data Engineer - Lakehouse & AI Pipelines

re-zoo-me; Singapore; Hybrid; SGD 120,000 - 170,000; Full time

Job summary

re-zoo-me seeks a hands-on data engineer with deep Databricks expertise to design and operationalize Delta Lakehouse architectures for enterprise customers. You will own implementations, lead technical delivery, and mentor teams on data governance, AI, and best practices.

You will build scalable pipelines with DLT, Spark SQL, Python/Scala, manage Workspaces and Unity Catalog, automate deployments with Terraform, and drive observability and cost optimization across AWS/Azure/GCP environments.

Qualifications

• 6–10 years hands-on Databricks experience including workspace setup, notebooks, clusters and orchestration.
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
• Proficiency in Python or Scala for data engineering and ML workflows.
• Strong understanding of AWS, Azure, or GCP cloud ecosystems.
• Experience with Terraform automation, DevOps, and MLOps practices.

Responsibilities

• Design and implement scalable data pipelines using Delta Live Tables, Spark SQL, Python, or Scala.
• Optimize ETL, streaming, and ML workloads for performance, cost, and reliability.
• Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure environments.
• Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.
• Implement observability and cost optimization with Splunk, Prometheus, or CloudWatch.
• Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Skills

Databricks

Delta Live Tables

Spark SQL

Python

Scala

SQL Warehouses

DevOps

MLOps

Tools

Terraform

MLflow

Unity Catalog

DBRX

Mosaic AI

Git

CI/CD tools

Splunk

Prometheus

CloudWatch

Job description

re-zoo-me seeks a hands-on data engineer with deep Databricks expertise to design and operationalize Delta Lakehouse architectures for enterprise customers. You will own implementations, lead technical delivery, and mentor teams on data governance, AI, and best practices.

You will build scalable pipelines with DLT, Spark SQL, Python/Scala, manage Workspaces and Unity Catalog, automate deployments with Terraform, and drive observability and cost optimization across AWS/Azure/GCP environments.