Zodiac Solutions - 34 Jobs
Mississauga, ON
Posted today
Job Details:
Full-time
Contract
Experienced
Job Title: Data Engineer with Openshift exp.
Location: Mississauga, ON Job Type: Contract opportunity
Our challenge
We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and platforms supporting critical banking operations. The ideal candidate will have expertise in Python, PySpark, SQL, Snowflake, Data Factory, Data Lakes, and OpenShift, with a strong understanding of banking data and compliance requirements.
Responsibilities:
- Design and develop robust ETL/ELT data pipelines using Python, PySpark, and SQL to support banking applications and reporting needs.
- Build and optimize data models within Snowflake and other cloud data platforms to enable efficient analytics.
- Develop and manage data ingestion workflows using Azure Data Factory and other orchestration tools.
- Design and maintain scalable Data Lakes and Data Warehouses tailored for banking data assets.
- Deploy and operate data solutions within containerized environments such as OpenShift.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
- Ensure data security, compliance, and governance standards are integrated into all data solutions.
- Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
- Incorporate automation and CI/CD practices to streamline deployment and updates.
Requirements:
- 7+ years of experience as a Data Engineer or similar role in the banking or financial services domain.
- Strong proficiency in Python and PySpark for data processing and transformation.
- Solid experience with SQL and data modeling in Snowflake or similar cloud data platforms.
- Hands-on experience with cloud data integration tools such as Azure Data Factory, AWS Glue, or equivalent.
- Experience designing and implementing Data Lakes and data storage solutions.
- Knowledge of container orchestration platforms, especially OpenShift or Kubernetes.
- Familiarity with data governance, security standards, and compliance requirements in banking.
- Experience working in Agile environments with CI/CD pipelines.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and ability to collaborate effectively across teams.
Share This Job:
Frequently Asked Questions
This is a contract opportunity based in Mississauga, ON, and the job type is full-time.
The role requires Python, PySpark, SQL, Snowflake or similar cloud data platforms, Azure Data Factory or equivalent, and experience with OpenShift or container orchestration.
You will design, develop, and maintain ETL/ELT pipelines, build data models in Snowflake, manage data ingestion workflows with Azure Data Factory, and design scalable Data Lakes and Data Warehouses for banking data assets.
Yes, the role targets banking operations with a strong understanding of banking data, compliance, governance, and security standards integrated into data solutions.
You will collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
Yes, the role includes incorporating automation and CI/CD practices to streamline deployment and updates.
The position requires 7+ years of experience as a Data Engineer or in a similar role in the banking or financial services domain.
