Data Platform Engineer
Summary
Design, build, and optimize enterprise analytics platforms and lakehouse solutions: scalable data pipelines, MPP query engines, and distributed workloads. Centered on Apache Doris (or similar), Snowflake/Spark, Trino, Iceberg/Delta/Hudi, with SQL tuning and Python/Java/Scala for 7-8+ year data engineers.
We're Hiring: Data Platform Engineer!
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.
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.
- 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 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.