Data Platform Engineer

🌟 We're Hiring: Data Platform Engineer! 🌟

We are seeking an experiencedData Platform Engineerto design, build,optimize, and support modern analytics platforms andlakehousesolutions. You will play a key role in developing scalable data pipelines,optimizingdistributed query workloads, and supporting enterprise analytics platforms across a high-performance data ecosystem. Candidates shouldpossessdeepexpertisein modern data architectures, MPP platforms, and large-scale analytical processing.

Key Responsibilities

• Design, develop, andoptimizeenterprise data platforms and analytics solutions.

• Build andmaintainscalable data pipelines andlakehousearchitectures.

• Support andoptimizeMPP 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, ora relateddiscipline.

• 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 asStarRocks,ClickHouse, or Greenplum).

• AdvancedSQL development and query optimizationskills.

• Strong understanding ofApache Doris architecture, data models, partitioning, and performance tuning.

• Experience withApache Iceberg, Delta Lake, or Apache Hudi.

• Experience withSnowflakeand/orApache Spark.

• Hands-on experience withTrino,PrestoSQL, or Presto.

• Solid knowledge ofMPP/distributed query processing, performance optimization, and data architecture concepts.

• Experience working withcloud object storage,Parquet, andORCfile formats.

• ProficiencyinPython, Java, or Scala.

• Experience withGitandCI/CD pipelinesfor data platforms.

Ready to build the future of data? 🚀 Apply now and be part of our journey!