GCP Data Engineer

Accenture - Florham Park, NJ

Full-time - Entry Level

Florham Park, NJ

Professional, Scientific, and Technical Services

About the position

The GCP Data Engineer at Accenture will play a pivotal role in architecting and modernizing enterprise data solutions on the Google Cloud Platform (GCP). This position involves leading technology innovation for clients by delivering world-class data analytics solutions, integrating GCP services with third-party technologies. The role requires a solid understanding of large-scale data architecture and operationalization, with a focus on collaboration and problem-solving in a dynamic environment.

Responsibilities

• Lead a team of data engineers in designing, developing, testing, and deploying high-performance data analytics solutions in GCP.
• Work with implementation teams from concept to operations, providing deep technical subject matter expertise for deploying large-scale data solutions.
• Build solution architecture, provision infrastructure, and secure reliable data-centric services and applications in GCP.
• Implement end-to-end data analytics solutions for large-scale, complex client environments.
• Analyze and understand Big Data and analytical technologies on GCP, providing thought leadership to clients.
• Communicate complex technical topics to non-technical business and senior executives.
• Support data migration and transformation projects.
• Utilize Google AutoML framework to build intelligence into data pipelines.

Requirements

• Minimum of 5 years experience in any cloud platform, including 2 years of deep experience with GCP data and analytics services.
• Minimum of 3 years proven ability to re-architect and re-platform on-premise data warehouses to GCP.
• Minimum of 3 years expertise in architecting and implementing next-generation data and analytics platforms on GCP.
• Minimum of 3 years hands-on experience architecting data lakes and ingestion functions using GCP native or custom programming.

Nice-to-haves

• Experience with recommendation engines, data pipelines, or distributed machine learning.
• Familiarity with data analytics and data visualization techniques and software.

Benefits

• Inclusive culture that values diversity.
• Opportunities for career growth and advancement.