Senior Data Platform Engineer: Lakehouse & Analytics

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

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.