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Hiring - GCP Data Engineer in Phoenix, AZ at Phoenix, Arizona, USA
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Sri,

VDart Inc

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GCP Data Engineer

Contract

Phoenix, AZ (Initial Remote)

A solid experience and understanding of considerations for large-scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must Monitors the Data Lake constantly and ensures that the appropriate support teams are engaged at the right times Design, build and test scalable data ingestion pipelines, perform end to end automation of ETL process for various datasets that are being ingested Determine best way to extract application telemetry data, structure it, send to proper tool for reporting (Kafka, Splunk) Create reports to monitor usage data for billing and SLA tracking Work with business and cross-functional teams to gather and document requirements to meet business needs Provide support as required to ensure the availability and performance of ETL/ELT jobs Provide technical assistance and cross training to business and internal team members Collaborate with business partners for continuous improvement opportunities 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 salable data pipelines that deal with extraction, transformation, and loading 4+ years of experience with Python, Scala with working knowledge on Notebooks 3+ years hands on experience on GCP 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, update the stake holders 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

Keywords: continuous integration continuous deployment information technology
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Wed Dec 21 14:05:00 UTC 2022

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