data mining analyst

Ernst & Young; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

An international consulting firm in Toronto is looking for a Senior Data Engineer to design and maintain data pipelines and ETL processes. Candidates should have experience with Snowflake, Databricks, and cloud services. The role offers a competitive salary based on experience and comprehensive benefits including medical and pension plans.

Benefits

Comprehensive medical coverage

Prescription drug plan

Generous vacation policy

Defined contribution pension plan

Qualifications

• Proven experience as a Data Engineer with hands-on expertise in Snowflake, Databricks, and Azure.
• Strong programming skills in Python, Scala, or Java.
• Proficiency in SQL, data modeling, and data warehousing concepts.

Responsibilities

• Design, construct, and maintain scalable data pipelines and ETL/ELT processes.
• Develop data processing workflows using Databricks Notebooks, Spark SQL, and Snowflake SQL.
• Collaborate with teams to gather requirements and translate needs into specifications.

Skills

Python

SQL

Data Engineering

Snowflake

Databricks

Apache Spark

Data Modeling

Problem Solving

Communication

Collaboration

Education

Bachelor's or Master's degree in relevant field

Tools

Azure

Power BI

Tableau

Git

Apache Airflow

Job description

Job Details

Title posted on CareerBeacon - AI and Data - Senior - Data Engineer

Posted on November 14, 2025 by Ernst & Young

Key Responsibilities

• Design, construct, and maintain scalable data pipelines and ETL/ELT processes across Snowflake and Azure Databricks.
• Develop data processing workflows using Databricks Notebooks, Spark SQL, and Snowflake SQL. Optimize data storage and processing performance to support real‑time analytics and business intelligence.
• Collaborate with cross‑functional teams to gather requirements and translate business needs into technical specifications.
• Build and maintain data models, data marts, and data warehouses to support analytics and reporting.
• Implement data governance, security, and compliance best practices across cloud data platforms.
• Troubleshoot and resolve data processing issues, ensuring high data quality and integrity.
• Provide technical guidance on platform capabilities and mentor junior data engineers.
• Stay current with the latest features and trends in Snowflake, Databricks, and cloud data engineering.
• Develop and maintain documentation related to data pipeline architecture, development processes, and governance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• Proven experience as a Data Engineer with hands‑on expertise in Snowflake, Databricks, and Azure.
• Strong programming skills in Python, Scala, or Java.
• Proficiency in SQL, data modeling, and data warehousing concepts.
• Knowledge of cloud platforms such as Azure, AWS, or GCP, and their integration with Snowflake.
• Experience with Apache Spark and its integration with Databricks.
• Excellent analytical, problem‑solving, and communication skills.
• Ability to work collaboratively in a fast‑paced, team‑oriented environment.

Skills and Attributes for Success

• Certifications such as Snowflake SnowPro, Azure Data Engineer Associate, or Azure Data Scientist Associate.
• Experience with BI tools like Power BI, Tableau, or Looker.
• Familiarity with machine learning frameworks, data science concepts, and big data tools.
• Experience with version control systems (e.g., Git) and workflow orchestration tools (e.g., Apache Airflow).
• Understanding of DevOps practices, CI/CD pipelines, and data integration techniques.

Benefits

At EY, our Total Rewards package supports our commitment to creating a leading people culture. We offer a competitive compensation package based on performance and value you bring. Our Total Rewards package includes comprehensive medical, prescription drug, dental coverage; a defined contribution pension plan; a generous vacation policy; firm‑paid days; and statutory holidays.

Location and Compensation

• Location: Toronto, ON
• Work location: On site
• Salary: $29.74 to $64.90 per hour
• Terms of employment: Permanent, Full time
• Starts as soon as possible
• Vacancies: 1

Advertised until

2025-12-13