Data Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (AI/ML): Designing, building, and maintaining scalable ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks with an accent on ingesting, transforming, and curating structured and unstructured data for AI/ML consumption. Focus on optimizing data workflows for performance, reliability, and cost-efficiency, and enabling data access for Azure AI services.
Location: United States and Canada
Salary: $85,000 - $95,000
Company
is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world.
What you will do
- Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
- Ingest, transform, and curate structured and unstructured data from diverse sources for AI/ML consumption.
- Optimize data workflows for performance, reliability, and cost-efficiency.
- Enable data access and preparation for Azure AI services, including Azure Machine Learning, Azure OpenAI, and Cognitive Services.
- Collaborate with data scientists and ML engineers to operationalize AI models using MLOps and GenAIOps practices.
- Implement CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions.
Requirements
- 8-10 years of experience in data engineering, cloud platforms, and big data technologies.
- Strong proficiency in Azure services: Data Factory, Synapse, Data Lake, Azure SQL, Cosmos DB.
- Experience with Python, Spark, SQL, and distributed data processing.
- Familiarity with AI/ML workflows and tools such as Azure ML, MLflow, and OpenAI APIs.
- Understanding of data governance, security, and compliance in cloud environments.
Culture & Benefits
- Paid time off based on employee grade (A-F): Vacation (12-25 days), company paid holidays, personal days, sick leave.
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
- Life and disability insurance.
- Employee assistance programs.
Hiring process
- is an Equal Opportunity Employer encouraging inclusion in the workplace.
- is committed to providing reasonable accommodation during our recruitment process.
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