Tap Growth ai
Singapore / Global
Singapore / Global
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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Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global