Databricks Data Engineer

Unison Consulting Pte. Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Unison Consulting Pte. Ltd. seeks a hands-on Databricks professional to design, develop and operationalize Lakehouse-based data and AI solutions for enterprise clients.

You'll own implementation tasks, lead technical delivery, and mentor teams in data engineering, governance and AI best practices. You will design scalable data pipelines with Delta Live Tables and Spark SQL, optimize ETL and ML workloads, and administer Databricks Workspaces with Unity Catalog.

Qualifications

• 6 to 10 years hands-on Databricks experience including workspace setup, notebooks, clusters and job 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 Delta Live Tables pipelines and Spark SQL data flows.
• Optimize ETL, streaming and ML workloads for performance and cost efficiency.
• Administer and configure Databricks Workspaces, Unity Catalog and cluster policies.
• 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 using MLflow and related tools.

Skills

Databricks

Delta Lake

DLT

Unity Catalog

SQL Warehouses

Python

Scala

Cloud platforms

Terraform

DevOps

MLOps

Monitoring

Tools

Splunk

Prometheus

CloudWatch

Job description

• We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions.
• In this role, you'll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You'll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI.

Key Responsibilities

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

Required Skills & Experience

• 6 to10 Years for Strong hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job 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.

Familiarity with monitoring and governanceframeworks for large-scale data platforms.