Data Engineer with Openshift Experience

Mississauga, ON, CA • Posted 9 hours ago • Updated 9 hours ago

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Job Details

Skills

aws
sql
python
ETL
azure
Pyspark
GCP
OpenShift
Data Engineer

Summary

Job Title: Data Engineer with Openshift Experience
Location: Mississauga, ON (Hybrid)

Job Summary:

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data solutions. The ideal candidate will have a strong background in Python, PySpark, SQL, Snowflake, Data Factory, Data Lakes, and OpenShift, with a passion for building reliable data pipelines and enabling data-driven decision-making.

Key Responsibilities:

Develop, construct, test, and maintain scalable data pipelines and ETL/ELT workflows using Python, PySpark, and SQL.
Manage and optimize data storage solutions in Snowflake and on Data Lakes.
Integrate data from multiple sources and ensure data quality, integrity, and security.
Design and implement automated workflows using Azure Data Factory or other orchestration tools.
Deploy and manage containerized applications and services on OpenShift.
Collaborate with Data Scientists, Analysts, and Stakeholders to understand data requirements.
Monitor and troubleshoot data pipelines and resolve performance bottlenecks.
Maintain documentation of data architecture, workflows, and best practices.
Ensure compliance with data governance and security policies.

Qualifications & Skills:

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Proven experience as a Data Engineer or in similar roles.
Strong proficiency in Python, with frameworks like PySpark.
Expertise in SQL and experience with Snowflake Data Warehouse.
Hands-on experience with data orchestration using Azure Data Factory or similar tools.
Knowledge of Data Lakes architecture and management.
Experience deploying and managing containerized applications on OpenShift or Kubernetes.
Familiarity with cloud platforms (Azure, AWS, Google Cloud Platform).
Understanding of data security, governance, and compliance best practices.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.

Preferred Skills:

Experience with other big data tools (e.g., Kafka, Hadoop).
Knowledge of CI/CD pipelines and DevOps practices.
Familiarity with other cloud data services and tools

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10106248
Position Id: 2026-3904
Posted 9 hours ago

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