Senior Data Platform Engineer

Tap Growth ai; Singapore; On-site; SGD 180,000 - 250,000; Full time

Job summary

Tap Growth ai is seeking a Senior 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.

The role focuses on developing data platforms, building pipelines, tuning performance across MPP databases, and implementing CI/CD, governance, and operational best practices with cross-functional teams.

Qualifications

• 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.

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.

Skills

SQL development

Query optimization

Python

Java

Scala

Apache Doris

StarRocks

ClickHouse

Iceberg

Delta Lake

Hudi

Snowflake

Apache Spark

Trino

Presto

Git

CI/CD

Cloud object storage

Tools

Snowflake

Apache Spark

Trino

Presto

Doris

StarRocks

ClickHouse

Iceberg

Delta Lake

Hudi

Job description

We're Hiring: Senior Data Platform Engineer!

About the RoleWe 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.