Back-End Data Engineer (Big data/ Cloud)

RedolentSunnyvale, CA
Onsite

About The Position

Develops innovation strategies, processes, and best practices. Drives the execution of multiple business plans and projects. Supports and ensures business objectives being met. Leads the discovery phase of medium to large projects to come up with high level design. Leads the work of other small group of 3 to 4 engineers for assigned Engineering projects. Leads and participates in end to end service implementations, data feeds ingestion, and orchestration. Designs and implements low latency services. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity. Troubleshoots business and production issues.

Requirements

  • Big data
  • Cloud
  • GCP
  • BigQuery
  • DataProc
  • Hive
  • Spark
  • Airflow

Responsibilities

  • Accelerate migration of legacy on-prem Hive/Spark/Airflow pipelines and workloads to public cloud, leveraging GCP, BigQuery and DataProc to achieve cost efficiencies and acceleration of execution along with improved SLAs and Data Quality
  • Drives the execution of multiple business plans and projects.
  • Supports and ensures business objectives being met.
  • Leads the discovery phase of medium to large projects to come up with high level design.
  • Leads the work of other small group of 3 to 4 engineers for assigned Engineering projects
  • Leads and participates in end to end service implementations, data feeds ingestion, and orchestration.
  • Designs and implements low latency services.
  • Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity.
  • Troubleshoots business and production issues.
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