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GCP data Engineer

1 years

0 Lacs

Gurugram Haryana India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

gcp data design looker vertex dataflow composer ai governance python sql etl orchestration kubernetes communication kafka querying monitoring parallelism concurrency deployment architecture

Work Mode

On-site

Job Type

Contractual

Job Description

Job Description · Hands-on experience with data tools and technologies is a must. ·Partial design experience is acceptable, but core focus should be on strong data skills. ·Will be supporting the pre-sales team from a hands-on technical perspective. · GCP experience: Looker / BigQuery / Vertex – any of these with 6 months to 1 year of experience. Requirements On day one we'll expect you to... Own the modules and take complete ownership of the project Understand the scope, design and business objective of the project and articulate it in the form of a design document Strong experience with Google Cloud Platform data services, including BigQuery, Dataflow, Dataproc, Cloud Composer, Vertex AI Studio, GenAI (Gemini, Imagen, Veo) Experience in implementing data governance on GCP Familiarity with integrating GCP services with other platforms like Snowflake, and hands-on Snowflake project experience is a plus Experienced coder in python, SQL, ETL and orchestration tools Experience with containerized solutions using Google Kubernetes Engine Good communication skills to interact with internal teams and customers Expertise in pySpark(Batch and Real-time both), Kafka, SQL, Data Querying tools. Experience in working with a team, continuously monitoring, working as a individual contributor hand-on and helping team deliver their work as you deliver yours Experience in working with large volumes of data in distributed environment keeping in mind parallelism and concurrency, ensuring performant and resilient system ops Optimize the deployment architecture to reduce job run-times and resource utilization Develop and Optimize Data Warehouses given the schema design. Show more Show less

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