Senior Data Engineer – Lakehouse & Cloud Pipelines

Activate Interactive

Singapore

On-site

SGD 120,000 - 180,000

Full time

13 hours ago
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Benefits offered by this job

Competitive compensation
Flexi-work options
Medical coverage and wellness

Job summary

Activate Interactive Pte Ltd invites a Senior Data Engineer to join our Co-Development Data Platform team in Singapore. You will design, build and operate trusted data pipelines on the SWDA data platform using AWS and Databricks, enabling analytics and ML workloads.

You will lead data ingestion, transformation, modelling and quality initiatives, and drive efficiency through automation, governance and robust operational practices across development, test and production environments.

Qualifications

  • Strong Python, PySpark and SQL capabilities with distributed processing and testing.
  • Experience with Databricks, Spark and Delta Lake in production-scale pipelines.
  • AWS data engineering with S3, Glue, IAM and related services.
  • Experience designing lakehouse architectures and data products.

Responsibilities

  • Lead design and implementation of batch and streaming data pipelines across AWS and Databricks.
  • Develop Bronze/Silver/Gold data layers with clear ownership and data contracts.
  • Ensure data quality, schema validation, and lineage across pipelines.
  • Implement orchestration, CI/CD and IaC for reliable deployments.
  • Establish governance: metadata, lineage, and access controls.
  • Monitor pipelines with dashboards, alerts and runbooks.
  • Optimize Spark/SQL workloads and cost on AWS/Databricks.
  • Provide technical leadership and mentoring to engineers.

Skills

Python & PySpark
SQL & Data Warehousing
Databricks & Delta Lake
AWS Data Engineering
Workflow Orchestration (Airflow)
Data Modeling & Lakehouse

Tools

Databricks
Apache Spark
Delta Lake
Terraform (IaC)
Unity Catalog / AWS Glue

Job description

Activate Interactive Pte Ltd invites a Senior Data Engineer to join our Co-Development Data Platform team in Singapore. You will design, build and operate trusted data pipelines on the SWDA data platform using AWS and Databricks, enabling analytics and ML workloads.

You will lead data ingestion, transformation, modelling and quality initiatives, and drive efficiency through automation, governance and robust operational practices across development, test and production environments.

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