Senior Data Engineer

November 1

🗣️🇫🇷 French Required

Apply Now
Logo of Arctiq

Arctiq

Enterprise • SaaS • Security

Arctiq is a company that specializes in providing transformative infrastructure, security, and platform engineering solutions. They focus on enterprise security, modern infrastructure, and platform engineering, helping businesses architect practical and efficient solutions using world-class technologies. Arctiq offers managed security services, cloud security, and modern infrastructure solutions such as wireless networking and hybrid cloud infrastructure. They work with various sectors including healthcare, education, government, and more to enhance connectivity and bolster security using innovative technologies. Their services cover comprehensive infrastructure and security needs, from video surveillance in schools to smart city initiatives and cloud-native solutions for industries like oil & gas.

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🔐 Security

📋 Description

• Design, develop, and implement data solutions for clients • Collaborate with cross-functional teams to analyze data requirements • Identify requirements and develop solution architectures • Assess, recommend, and implement DevOps technology solutions • Lead clients towards industry best practices in cloud adoption • Develop innovative solutions, architectures, proof of concepts, and demo environments • Work closely with the PMO to provide visibility into project delivery scope • Ensure delivery of high-quality projects on time and within budget • Collaborate with Partner and Marketing teams to develop content • Present at company and partner events

🎯 Requirements

• Bilingual French & English is an asset. • Bachelor’s or Master’s degree in computer engineering / science, data engineering / science, or a related field. • Demonstrated and applied experience in establishing and delivering complex projects, showcasing a track record of successful implementations. • Proven experience as a Data Engineer or in a similar role. • Skilled at coding and scripting languages, including but not limited to Python, SQL, YML, Terraform. • Experience with cloud solution implementation, data integration, ETL development, and database management. • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., Databricks, BigQuery, etc.). • Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka, and related tools. • Proficient use of SCM tools such as Git, GitHub, and GitLab for efficient version control and collaborative development. • Experience with automation and configuration management solutions, utilizing tools like Ansible, Terraform, Octopus Deploy, AWS Config, and Azure Automation & Control.

🏖️ Benefits

• Professional development • Mentorship and coaching for junior team members • Equal opportunity employer

Apply Now

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