Senior Data Engineer - Snowflake, AWS & Spark

Tiger Analytics; Toronto; On-site; CAD 100,000 - 140,000; Full time

Benefits offered by this job

Significant career development opportunities

Challenging and entrepreneurial environment

Job summary

An analytics consulting firm in Toronto is seeking a Data Engineer to architect and implement advanced analytics capabilities. The ideal candidate will have over 12 years of experience in data engineering with a strong focus on AWS Cloud and large-scale data processing pipelines. Key skills include Python, SQL, and PySpark, alongside knowledge of Snowflake and Databricks. This role offers significant career development in a dynamic environment that supports individual responsibility.

Qualifications

• 12+ years of industry experience in data engineering, focusing on AWS Cloud.
• 8+ years in building and deploying data processing pipelines.
• Advanced proficiency in Python, SQL, and PySpark.

Responsibilities

• Architecting, designing, and implementing advanced analytics capabilities.
• Build processes for data transformation, metadata, and workload management.

Skills

Python

SQL

PySpark

Data pipelines

Data transformation

AWS Cloud

Snowflake

Databricks

Apache Spark

ELT

ETL

Job description

An analytics consulting firm in Toronto is seeking a Data Engineer to architect and implement advanced analytics capabilities. The ideal candidate will have over 12 years of experience in data engineering with a strong focus on AWS Cloud and large-scale data processing pipelines. Key skills include Python, SQL, and PySpark, alongside knowledge of Snowflake and Databricks. This role offers significant career development in a dynamic environment that supports individual responsibility.