Senior Data Engineer, Google Cloud Data & AI Innovator

Accenture PLC; Carmel (IN); Vor Ort; USD 100.000 - 230.000; Vollzeit

Benefits dieser Stelle

Medical benefits

Dental benefits

401(k)

Zusammenfassung

Accenture is seeking a hands-on Data Engineer/ML Engineer to deliver end-to-end data and AI solutions on Google Cloud. You will work with clients, senior architects, and delivery teams to design, build, and operate data pipelines and analytics products.

The role emphasizes hands-on delivery, data governance, and learning across Looker, Vertex AI, Gemini models, and MLOps. Travel may be required (0-100%).

Qualifikationen

• Minimum 5 years hands-on experience in Data Engineering, Analytics, ML Engineering, or related fields.
• Minimum 4 years practical experience with Google Cloud Platform.
• Minimum 5 years experience with SQL, data modeling, and building data pipelines.
• Minimum 3 years experience with Python or AI or GenAI tools (Vertex AI preferred).
• Bachelor’s degree or equivalent work experience.

Aufgaben

• Hands-on technical delivery for client projects.
• Build data pipelines, ETL/ELT processes using GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage.
• Assist with data modeling, performance tuning, and query optimization in BigQuery.
• Implement data ingestion patterns for batch and streaming data sources.
• Support development of dashboards and analytics products using Looker Studio.
• Support AI/ML solution development using Vertex AI, Gemini models, and embeddings.
• Implement ML pipelines and establish MLOps processes (monitoring, retraining, deployment).
• Collaborate with clients to understand data needs and translate requirements into technical tasks.

Kenntnisse

Data engineering

Data analytics

ML engineering

Python

SQL

GCP

BigQuery

Looker

Ausbildung

Bachelor’s degree or equivalent

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Dataplex

Looker Studio

Vertex AI

Gemini

Jobbeschreibung

Accenture is seeking a hands-on Data Engineer/ML Engineer to deliver end-to-end data and AI solutions on Google Cloud. You will work with clients, senior architects, and delivery teams to design, build, and operate data pipelines and analytics products.

The role emphasizes hands-on delivery, data governance, and learning across Looker, Vertex AI, Gemini models, and MLOps. Travel may be required (0-100%).