Senior Data Engineer
职位介绍
Lead the design, development, and delivery of scalable data engineering solutions within the Hadoop ecosystem.
Architect and implement high-performance data processing pipelines using Cloudera, Apache Spark, Apache Ozone, Apache Iceberg, Apache Airflow, and Apache NiFi.
Drive end-to-end technical delivery, establish architecture standards, and benchmark performance for large-scale datasets.
Conduct PoCs to evaluate emerging technologies, contribute to technology roadmaps, and mentor junior engineers.
Ensure security, quality, and SLA adherence while managing production incidents through root-cause analysis and remediation.
Collaborate with cross-functional teams to translate business needs into robust, scalable data platforms.
Architect and implement high-performance data processing pipelines using Cloudera, Apache Spark, Apache Ozone, Apache Iceberg, Apache Airflow, and Apache NiFi.
Drive end-to-end technical delivery, establish architecture standards, and benchmark performance for large-scale datasets.
Conduct PoCs to evaluate emerging technologies, contribute to technology roadmaps, and mentor junior engineers.
Ensure security, quality, and SLA adherence while managing production incidents through root-cause analysis and remediation.
Collaborate with cross-functional teams to translate business needs into robust, scalable data platforms.
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城市Pune, 印度