Data Platform Engineer

Job Summary: Role: Data Platform Engineer Start: ASAP Duration: 12 Months Location: Singapore We are seeking an experienced Data Platform Engineer to design, build, optimize, and support modern analytics platforms and lakehouse solutions. You will play a key role in developing scalable data pipelines, optimizing distributed query workloads, and supporting enterprise analytics platforms across a high-performance data ecosystem. Candidates should possess deep expertise in modern data architectures, MPP platforms, and large-scale analytical processing.

• Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related discipline. - 7-8+ years of experience in Data Engineering, Analytics Engineering, Data Platforms, or Big Data ecosystems. - Experience working in enterprise-scale analytics and data environments. - Strong analytical, problem-solving, and stakeholder management skills. Mandatory Skills - Hands-on experience with Apache Doris (or similar MPP platforms such as StarRocks, ClickHouse, or Greenplum). - Advanced SQL development and query optimization skills. - Strong understanding of Apache Doris architecture, data models, partitioning, and performance tuning. - Experience with Apache Iceberg, Delta Lake, or Apache Hudi. - Experience with Snowflake and/or Apache Spark. - Hands-on experience with Trino, PrestoSQL, or Presto. - Solid knowledge of MPP/distributed query processing, performance optimization, and data architecture con