Senior AI Data Engineer

Placements24; Kimberley; Hybrid; CAD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and bonuses

Medical, dental, and vision insurance

Professional growth opportunities in a

Access to cutting-edge data infra

Job summary

Placements24 in Kimberley, Canada is seeking a Senior AI Data Engineer to design, build, and maintain scalable data pipelines and infrastructure powering AI/ML initiatives. You will work with researchers and engineers to ensure high-quality, accessible data for model training and analysis.

The role requires strong SQL, Spark/Hadoop, and cloud platform experience across AWS, Azure, and GCP to deliver robust data solutions for production environments in Kimberley.

Qualifications

• 5+ years of data engineering experience supporting AI/ML projects.
• Bachelor's or Master's in CS/IT or related quantitative field.
• Strong SQL proficiency and big data tech experience (Spark, Hadoop, Kafka).
• Experience with cloud data platforms (AWS/Azure/GCP).
• Proficiency in Python or Scala.

Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines for AI/ML workloads.
• Manage large datasets, data warehouses, and data lakes.
• Implement data quality checks, governance policies, and data security measures.
• Collaborate with data scientists and ML engineers to provide data access.
• Develop monitoring and alerting for data pipelines and quality.

Skills

ETL/ELT design

Data warehousing

Data governance

SQL proficiency

Python/Scala

Education

Bachelor's degree in CS/IT or related field

Master's degree

Tools

SQL

Spark

Hadoop

Kafka

AWS Redshift

S3

EMR

Azure Data Factory

Synapse

BigQuery

Dataproc

Python

Scala

Job description

About the Role

Our client is looking for a seasoned Senior AI Data Engineer to join their rapidly expanding data science division in Kimberley . You will be instrumental in designing, building, and maintaining scalable data pipelines and infrastructure that power their advanced AI and machine learning initiatives. This role demands expertise in data warehousing, ETL processes, and big data technologies, ensuring that high-quality, accessible data is available for model training and analysis. You will work closely with AI researchers and engineers to architect data solutions that drive impactful business outcomes in Kimberley .

Key Responsibilities

• Design, develop, and maintain robust, scalable, and efficient ETL/ELT data pipelines for AI/ML workloads.
• Manage and optimize large datasets, data warehouses, and data lakes.
• Implement data quality checks, data governance policies, and data security measures.
• Collaborate with data scientists and ML engineers to understand data requirements and provide necessary data access.
• Develop monitoring and alerting systems for data pipelines and data quality.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related quantitative field.
• 5+ years of experience in data engineering, with a focus on supporting AI and machine learning projects .
• Strong proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop, Kafka).
• Experience with cloud data platforms (e.g., AWS Redshift/S3/EMR, Azure Data Factory/Synapse, GCP BigQuery/Dataproc).
• Proficiency in at least one programming language such as Python or Scala.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive medical, dental, and vision insurance.
• Opportunities for professional growth and continuous learning in Kimberley .
• Access to cutting-edge data infrastructure and technologies.
• A collaborative team environment focused on data-driven innovation.