Senior Snowflake Data Engineer | AWS, Spark & AI Growth

Tiger Analytics, LLC; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

A fast-growing analytics consulting firm is seeking a Data Engineer to architect and implement advanced analytics capabilities. The role requires expertise in data engineering with extensive experience in cloud technologies, particularly AWS. Candidates should possess strong skills in Python, SQL, and large-scale data processing pipelines, and have experience with Snowflake and Apache Spark. This position offers significant career development opportunities in a dynamic and entrepreneurial environment.

Qualifications

• 12+ years of overall industry experience specifically in data engineering with a heavy focus on the AWS Cloud stack and AI.
• 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
• Advanced proficiency in Python, SQL, and PySpark.
• Deep experience with Snowflake/Databricks on AWS, dbt, and distributed computing frameworks like Apache Spark.

Responsibilities

• Architect and implement advanced analytics capabilities.
• Build processes supporting data transformation and structures.
• Work with complex data sets to generate insights that solve business challenges.

Skills

Python

SQL

PySpark

AWS Cloud

Data Engineering

Data Processing Pipelines

Snowflake

Databricks

Apache Spark

Job description

A fast-growing analytics consulting firm is seeking a Data Engineer to architect and implement advanced analytics capabilities. The role requires expertise in data engineering with extensive experience in cloud technologies, particularly AWS. Candidates should possess strong skills in Python, SQL, and large-scale data processing pipelines, and have experience with Snowflake and Apache Spark. This position offers significant career development opportunities in a dynamic and entrepreneurial environment.