Senior Data Engineer: Google Cloud & AI Pipelines

Accenture PLC

Columbus (OH)

Vor Ort

USD 87.000 - 213.000

Vollzeit

vor 16 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Medical insurance
Dental insurance
Vision insurance
Life insurance
Long-term disability
401(k)
Bonus opportunities
Paid holidays
Paid time off

Zusammenfassung

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI.

The role is hands-on data engineering, analytics, and ML engineering with a strong focus on Google Cloud Platform (GCP), BigQuery, Looker, Vertex AI, and related tools. You will collaborate with clients and senior architects to deliver end-to-end data and AI solutions.

Qualifikationen

  • 5+ years hands-on experience in Data Engineering, Data Analytics, ML Engineering, or related fields.
  • 4+ years practical experience with Google Cloud Platform.
  • 5+ years experience with SQL, data modeling, and building data pipelines.
  • 3+ years experience with Python or AI or GenAI tools (Vertex AI preferred).
  • Bachelor’s degree or equivalent work experience (min 12 years).

Aufgaben

  • Hands-on technical delivery.
  • Build data pipelines, ETL/ELT processes, and integrations using GCP services (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 or Looker Studio.
  • Assist in developing ML/AI solutions using Vertex AI, Gemini models, embeddings, and Model APIs.
  • Implement ML pipelines and help establish MLOps processes (monitoring, retraining, deployment).
  • Support prompt engineering, embeddings, and retrieval-augmented generation (RAG).
  • Contribute to model testing, validation, and documentation.
  • Participate in client workshops to understand data needs and translate requirements into tasks.
  • Communicate progress and blockers to project leads and client stakeholders.
  • Implement metadata management, data quality checks, and lineage tracking using Dataplex, IAM.
  • Follow security and compliance best practices.
  • Learn and apply GCP Data & AI best practices across patterns and frameworks.

Kenntnisse

Data engineering
Data analytics
ML engineering
SQL
Python
GenAI tools

Ausbildung

Bachelor's degree

Tools

BigQuery
Dataflow
Dataproc
Pub/Sub
Dataplex
Looker
Vertex AI
Gemini

Jobbeschreibung

Accenture is a premier Google Cloud partner helping organizations modernize data ecosystems, build real-time analytics capabilities, and responsibly scale AI.

The role is hands-on data engineering, analytics, and ML engineering with a strong focus on Google Cloud Platform (GCP), BigQuery, Looker, Vertex AI, and related tools. You will collaborate with clients and senior architects to deliver end-to-end data and AI solutions.

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