Dice
Lead Google Cloud Platform Data Engineer-Phoenix, Arizona(Local are preferred).
Dice, Phoenix, Arizona, United States, 85003
Dice is the leading career destination for tech experts at every stage of their careers. Our client, HUMAC INC., is seeking the following. Apply via Dice today!Position: Lead Google Cloud Platform Data Engineer
Location:
Phoenix, Arizona (Local candidates preferred).Need:
Google Cloud Platform CertificationFocus Points:
Strong in Google Cloud Platform and PythonKnowledge on migration projectsExperience on building re-usable idempotent pipelinesEmphasize on data engineering principles on pipelines being builtComprehensive knowledge on some of the core Google Cloud Platform servicesExperience, Skills & Qualifications:
6+ years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics.4+ years of experience with one of the leading public clouds.4+ years of experience in design and build of scalable data pipelines that deal with extraction, transformation, and loading.4+ years of experience with Python, Scala with working knowledge on Notebooks.2+ years hands-on experience on Google Cloud Platform Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc.).At least 2 years of experience in Data governance and Metadata Management.Ability to work independently, solve problems, and update stakeholders.Analyze, design, develop and deploy solutions as per business requirements.Strong understanding of relational and dimensional data modeling.Experience in DevOps and CI/CD related technologies.Excellent written and verbal communication skills, including experience in technical documentation and ability to communicate with senior business managers and executives.
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Location:
Phoenix, Arizona (Local candidates preferred).Need:
Google Cloud Platform CertificationFocus Points:
Strong in Google Cloud Platform and PythonKnowledge on migration projectsExperience on building re-usable idempotent pipelinesEmphasize on data engineering principles on pipelines being builtComprehensive knowledge on some of the core Google Cloud Platform servicesExperience, Skills & Qualifications:
6+ years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics.4+ years of experience with one of the leading public clouds.4+ years of experience in design and build of scalable data pipelines that deal with extraction, transformation, and loading.4+ years of experience with Python, Scala with working knowledge on Notebooks.2+ years hands-on experience on Google Cloud Platform Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc.).At least 2 years of experience in Data governance and Metadata Management.Ability to work independently, solve problems, and update stakeholders.Analyze, design, develop and deploy solutions as per business requirements.Strong understanding of relational and dimensional data modeling.Experience in DevOps and CI/CD related technologies.Excellent written and verbal communication skills, including experience in technical documentation and ability to communicate with senior business managers and executives.
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