Google Cloud Platform Data Engineer

1 month ago


Chicago, United States Publicis Sapient Full time

Job Description

This position requires in-depth knowledge and expertise in GCP services, architecture, and best practices. Will work closely with clients to understand their business objectives and develop strategies to leverage GCP to meet their needs. They will collaborate with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions. They will also be responsible for driving innovation and staying up-to-date with the latest GCP technologies and trends to provide industry-leading solutions.

Your Impact:

Collaborate with clients to understand their business requirements and design GCP architecture to meet their needs. Develop and implement cloud strategies, best practices, and standards to ensure efficient and effective cloud utilization. Work with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions on GCP. Provide technical guidance and mentorship to the team to develop their skills and expertise in GCP. Stay up-to-date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions. Drive innovation and continuous improvement in GCP offerings and services to provide industry-leading solutions. Collaborate with sales and business development teams to identify and pursue new business opportunities related to GCP. Ensure compliance with security, compliance, and governance requirements in GCP solutions. Develop and maintain strong relationships with clients, vendors, and internal stakeholders to promote the adoption and success of GCP solutions.

Qualifications

Must have good implementationexperience onvariousGCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL Must have programmatic experience with tools like Javascript, Python, Apache Spark. Experience in building advance Bigquery SQL and Bigquery modelling is required Experience in orchestrating end-end data pipelines with tools like cloud composer, Dataform is highly desired. Experience in managing complex and reusable dataflow pipelines is highly desired.

What sets you apart:

Experience in complex migrations from legacy data warehousing solutions or on-prem datalakes to GCP Experience in maneuvering resources in delivering tight projects Experience in building real-time ingestion and processing frameworks on GCP. Adaptability to learn new technologies and products as the job demands. Experience in implementing Data-governance solutions Knowledge in AI, ML and GEN-AI use cases Multi-cloud & hybrid cloud experience Any cloud certification

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