Data Engineer Data Analytics

2 months ago

Ottawa, Ontario, Canada Telesat Full time
Job Title: Data Engineer Data Analytics

Telesat is a leading global satellite operator, providing reliable and secure satellite-delivered communications solutions worldwide to broadcast, telecommunications, corporate and government customers for over 50 years.

Our company has a legacy of engineering excellence, reliability, and industry-leading customer service, making us one of the largest and most successful global satellite operators.

We are committed to providing the best candidate experience possible, including any required accommodations at every stage of our interview process.

Job Summary:

The Data Engineer will design, develop, implement, and support data solutions and integration frameworks within Telesat, ensuring secure seamless data storage, flow, and communication.

Key Responsibilities:

  • Design, develop, and deploy data and integration solutions following organization's architectural principles, policies, and guidelines.
  • Research and make recommendations on data and integration products and services.
  • Test and troubleshoot integration solutions, identify and resolve system issues.
  • Implement audit, logging, and monitoring solutions of integration systems.
  • Ensure compliance with data governance and security policies.

Requirements:

  • 5+ years of experience in enterprise-level application integration, including design, testing, deployment, and support.
  • Experience with business and technical requirements analysis, business process modeling, and methodology development, and data mapping.
  • Experience in overseeing the linking of cross-functional applications between disparate business units and systems.
  • Experience with real-time streaming solutions design and development, including Apache Kafka, ksqlDB, Event Hub, Azure Data Explorer, Python.
  • Experience with cloud technologies, including Azure Data Factory, Data Lake, Data Lakehouse, MS Fabric.
  • Knowledge of relational database design and management techniques, TSQL, PostgreSQL.
  • Knowledge of data warehouse solutions design and implementation.
  • Knowledge of project management methodologies and tools, Jira, Confluence, Smartsheets.
  • Strong knowledge of system and software SDLC cycle, DevOps, quality assurance best practices, and methods.

What We Offer:

We are committed to providing the best candidate experience possible, including any required accommodations at every stage of our interview process.

Language: English

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