Cloud Engineer II

CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.

OnX is a leading technology solution provider that serves businesses, healthcare organizations, and government agencies across Canada. OnX combines deep technical expertise with a full suite of flexible technology solutions—including Generative AI, Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, OnX delivers comprehensive technology solutions for its clients’ transformative business initiatives. For more information, please visit www.onx.com.

Cloud Engineer II

Job Purpose:

Design, develop, and maintain scalable data pipelines using AWS Data Engineering tools (e.g., AWS Glue, AWS Lambda, Amazon Redshift).

Implement ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.

Essential Functions: 

Develop and manage event streaming solutions using tools such as Apache Kafka, AWS Kinesis, or similar technologies.

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

Optimize and troubleshoot data pipelines to ensure high performance and reliability.

Monitor and maintain data quality and integrity across all data systems.

Stay up-to-date with the latest trends and best practices in data engineering and AWS technologies.

Work within Agile Scrum and XP methodologies, participating in sprint planning, daily stand-ups, and retrospectives to ensure timely delivery of projects.

Apply Test Driven Development (TDD) practices to ensure high-quality code and robust data solutions.

Education 

Bachelor's degree in Computer Science, Information Technology, or a related field.

Certifications, Accreditations, Licenses

Certification in AWS Data Engineering or related fields.

Experience 

6+ years of related experience 

Special Knowledge, Skills And Abilities

3-5 years of relevant experience in data engineering, with a focus on AWS Data Engineering tools.

Proficiency in ETL processes and tools (e.g., AWS Glue, PySpark, Apache Airflow).

Experience with event streaming technologies (e.g., Apache Kafka, AWS Kinesis).

Strong programming skills in languages such as Python, Java, or Scala.

Familiarity with SQL and database management systems (e.g., PostgreSQL, MySQL).

Excellent problem-solving skills and attention to detail.

Ability to work collaboratively in a team environment.

Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

Experience working in Agile Scrum and XP methodologies.

Experience with Test Driven Development (TDD).

Experience with data warehousing solutions (e.g., Amazon Redshift, Snowflake).

Knowledge of data governance and security best practices.

Nice to Have Skills: Experience with MS Azure and MS Fabric

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