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MABASA / LINKEDIN

Data Engineer

GECO Asia Pte Ltd

Location
Singapore, Singapore
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

**Overview** 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. **Key Responsibilities** * Design, develop, and optimize enterprise data platforms and analytics solutions. * Build and maintain scalable data pipelines and lakehouse architectures. * Support and optimize MPP query engines, data warehouses, and distributed processing environments. * Drive performance tuning, platform modernization, and workload optimization initiatives. * Collaborate with architects, analysts, and engineering teams to deliver reliable and scalable data solutions. * Support platform automation, CI/CD, governance, and operational best practices. * Troubleshoot complex data platform issues and ensure operational excellence. **General Qualifications** * 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. **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 A **pache 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 concepts. * Experience working with cloud object storage, Parquet, and ORC file formats. * Proficiency in **Python** , **Java** , or **Scala** . * Experience with **Git** and CI/CD pipelines for data platforms. **Nice\-to\-Have Skills** * Experience with modern lakehouse architectures and data mesh concepts. * Cloud platform experience (AWS, Azure, or GCP). * Data warehouse and analytics platform migration projects. * Infrastructure automation and DevOps practices. * Real\-time analytics and streaming technologies.

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