Senior Google Data Engineer

New

Skills

BigQuery Engineer Google Cloud Platform Java Machine Learning Python Sql

Join SADA as a Senior Data Engineer (ESS) and play a pivotal role in delivering exceptional Google Cloud Platform Data Engineering solutions to a global clientele. You will collaborate with skilled engineers to provide technical support, drive data migrations, and improve customer operations, all while acting as an ambassador for SADA. This customer-facing role offers opportunities to influence cloud architecture, support enterprise migrations, and engage in continuous learning and leadership development within a dynamic, 24x7 support environment.

Job Overview
  • Deliver expert-level support and consulting on Google Cloud data solutions.
  • Partner with internal and external teams to resolve technical issues and optimize client systems.
  • Participate in on-call rotations for 24x7 support coverage.
  • Contribute to knowledge sharing and process improvements, including ServiceNow enhancements.
  • Engage in ongoing professional development and certifications.
Key Responsibilities
  • Diagnose and resolve customer issues related to Google Cloud data products.
  • Guide enterprise migrations to Google Cloud, including data lakes, warehouses, and BI assets.
  • Develop and maintain batch/streaming ETL pipelines using tools like Dataflow and Pub/Sub.
  • Provide technical leadership, mentorship, and consultation to customers and peers.
  • Update documentation and knowledge articles to enhance support processes.
Required Skills & Qualifications
  • Google Professional Data Engineer certification (or ability to achieve within 45 days).
  • 5+ years of software development experience (Python, Java, Scala, or Go).
  • Expertise in Google Cloud data tools such as BigQuery, Dataflow, and Cloud SQL.
  • Hands-on experience with data integration tools (e.g., Fivetran, Striim, Data Fusion).
  • Strong consultative and communication skills in customer-facing environments.
  • Experience with systems monitoring, alerting, and performance tuning.
  • Knowledge of migration planning and execution for large enterprises.
  • Familiarity with BI tools (e.g., Tableau, Looker) is an advantage.
  • Understanding of cloud security, compliance (PCI, SOC2, HIPAA), and best practices.
  • Demonstrated leadership, willingness to mentor, and ability to learn new technologies.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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