Data Engineer – Spark, Databricks & Snowflake DESDSAS

NavitasPartners

Job Location:

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Engineer Spark Databricks & Snowflake

Position Overview:
We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data solutions for banking financial services and insurance clients.

Key Responsibilities:

Design and develop enterprise-grade data pipelines using Spark and Databricks.
Build and optimize Snowflake data warehouse solutions.
Develop ETL/ELT frameworks for structured and unstructured data.
Implement data quality governance and security controls.
Integrate data from core banking payments lending risk and regulatory systems.
Optimize data processing performance and cloud costs.

Required Skills:

Apache Spark (PySpark/Scala)
Databricks
Snowflake
SQL Python
Azure/AWS/GCP Data Services
Data Modeling
ETL/ELT Development
CI/CD and DevOps Practices
Data Lake Architecture

Required Qualifications:

Bachelors degree in Computer Science Engineering or related field.
5 years of Data Engineering experience.
Experience implementing enterprise data platforms.

Mandatory Industry Experience:

Must have prior BFSI experience supporting banking insurance capital markets lending payments wealth management or risk management functions.

For more details reach at

Required Experience:

Job Title: Data Engineer Spark Databricks & SnowflakePosition Overview: We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data solutions for banking financial services and insurance clients.Key Responsibilities:Design and ...