Azure Data Engineer: Build Scalable Data Pipelines

Accenture; San Francisco (CA); On-site; USD 106,250 - 127,000; Full time

Job summary

Accenture in San Francisco is seeking an Azure Data Engineer to design, build, and deploy scalable data pipelines across Microsoft Azure. You will serve as a subject‑matter expert, actively participate in team discussions, and contribute to innovative data solutions.

Responsibilities include ingestion, quality, transformation, orchestration, deployment to production, and data governance; migration from legacy warehouses; automation of data flows.

Qualifications

• Minimum of 3 years of Data Engineering experience with Python and Microsoft Azure Databricks.

Responsibilities

• Ingest,Quality,Transformation and Orchestration of data pipelines.
• Build scalable data pipelines using ETL processes.
• Deploy data solutions to production environments.
• Migrate data from legacy data warehouses using cloud architecture principles.
• Automate the flow of data for consumption.
• Support data governance through defined policies.

Skills

Python

PySpark

Education

Bachelor's or Associate's degree

Tools

Azure Databricks

Azure DevOps

Databricks Delta Live Tables

Azure Data Factory

Azure Cloud Services

Job description

Accenture in San Francisco is seeking an Azure Data Engineer to design, build, and deploy scalable data pipelines across Microsoft Azure. You will serve as a subject‑matter expert, actively participate in team discussions, and contribute to innovative data solutions.

Responsibilities include ingestion, quality, transformation, orchestration, deployment to production, and data governance; migration from legacy warehouses; automation of data flows.