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Tap Growth ai

Singapore / Global

Senior Data Platform Engineer

Job Description

We're Hiring: Senior Data Platform Engineer!

About the Role We are looking for an experienced Data Platform Engineer to design, build, and optimize scalable analytics platforms and modern lakehouse solutions. You will work on distributed data systems, high-performance query engines, and enterprise analytics environments.

Key Responsibilities

Develop and support data platforms, lakehouse architectures, and analytics solutions.

Build scalable data pipelines and optimize distributed query workloads.

Tune performance across MPP databases, data warehouses, and analytics platforms.

Collaborate with cross-functional teams to deliver reliable data solutions.

Implement CI/CD, automation, governance, and operational best practices.

Troubleshoot complex platform and performance issues.

Requirements

7+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.

Strong SQL development and query optimization skills.

Hands-on experience with

Apache Doris ,

StarRocks ,

ClickHouse , or similar MPP platforms.

Experience with

Iceberg ,

Delta Lake , or

Hudi .

Experience with

Snowflake ,

Apache Spark ,

Trino , or

Presto .

Knowledge of distributed data processing, lakehouse architectures, and performance tuning.

Proficiency in

Python, Java, or Scala .

Experience with

Git , CI/CD, and cloud object storage.

Nice to Have

AWS, Azure, or GCP experience.

Data warehouse migration projects.

DevOps and infrastructure automation.

Real-time analytics and streaming technologies.

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