Data Network Engineer Jobs

Knowledge of firewall functionality and upkeep.

Working knowledge of switches, routers, load balancers, and other networking hardware

A bachelor's degree in computer science or a closely related discipline.

5+ years of network engineering expertise.

Systems for network security and monitoring

Proficiency with general networking protocols including the TCP/IP stack.

Must be comfortable working from home

5 years of data engineering experience

Working knowledge of data visualization tools such as Power BI.

Strong analytical and problem-solving skills.

Assembling large, complex sets of data that meet non-functional and functional business requirements

Must currently hold a Government of Canada Reliability Security Clearance

3 to 5 years of related work experience in related technical environment.

Experience in database designing and modeling.

Experience writing complex queries/stored Procedures.

Experience initializing and managing Data Pipelines on cloud platforms: AWS, Azure, etc

Experience with ETL tools such as DataBricks, Azure Data Factory, Syncsort, SSIS or similar preferred.

Good organizational and problem-solving abilities that enable you to lead through creative abrasion.

Experience provisioning workstations and providing remote support

Comfortable in working with network hardware and doing proper cable management

Sharing knowledge, discoveries, ideas, challenges, and solutions with peers, Managers, and Executives

· well versed in Server in work station, server management and network administration

Recognize, identify and prioritize incidents in accordance with customer business requirements, organizational policies and operational impact

2-4 years of experience working with network equipment and

3. 3+ years of hands-on experience with Cisco and Fortinet firewalls.

• Prior Banking/Financial Institution experience.

• Certification related to Cisco security and Fortinet.

• Ability to self-manage and handle priorities.

• Hands-on experience with Cisco and Fortinet firewalls in previous projects.

Position: Network Engineer - 3

·Knowledge and experience in delivering network engineering, and cybersecurity

We are looking for experienced people or those with directly related college diplomas or university degrees.

·Provide technical direction to co-workers on computer and network usage and offer comprehensive advice and instructions

·Proven experience as a network technician or relevant position

·Outstanding diagnostic, problem-solving, and analytical skills

·Good knowledge of LAN/WAN networks, TCP/IP protocols, and network technologies

Nice to have skills ,Azure Data Factory,Databricks

Duration : North York, ON

• Propose technology improvements or come up with innovative solutions to solve business problems

• Collaborate with Architecture, security and risk teams and implement latest guidelines and data models

• Automate infrastructure provisioning and deployment using tools such as terraform

• Implement CI/CD pipelines that enables automated code deployment

Hiring Manager: Senior Manager, Global Network Operations

• Document, plan, implement and troubleshoot firewall rules as per the project's requirements.

3. 3+ years of hands-on experience with Cisco and Fortinet firewalls.

• Prior Banking/Financial Institution experience.

• Certification related to Cisco security and Fortinet.

• Ability to self-manage and handle priorities.

Exceptional time and project management skills with a proven track record of successfully managing multiple projects simultaneously.

Understanding of network management and quality of service concepts.

Support the Sales Team by developing network connectivity solutions to address customer requirements.

Contributes to the product evolution and design of new features, capabilities, or products.

Present solutions to vendors and customers in person or remotely.

Remain current on IP and Optical network solution offerings as they are developed.

Knowledge of Software-Defined Network (SDWAN), preferably Silver Peak is a plus.

Hands on experience with VoIP solutions (Cisco, Microsoft, poly com, contact center, voicemail, SIP, etc …)

Palo Alto firewalls, F5 load balancers and catalyst full stack knowledge is a plus.

Experience with Azure or PaaS, IaaS, SaaS is required.

You Will Be Responsible For

Ensure reports and databases meet defined IT standards and performance requirements.

Experience in the Microsoft Azure ecosystem (CosmosDB, Azure Synapse, Azure Data Lake). Azure Functions an asset.

Highly proficient SQL Query writing with experience tuning for performance.

Experience with various source control systems, GitHub, Bitbucket, Azure DevOps, TFS etc.

MuleSoft API development experience is an asset

Excellent oral and written communication skills.

10+ years of hands-on technical working experience in supporting, deploying and interconnecting various network technologies at an enterprise scale

7+ years of experience designing and deploying Data Centre network technologies (MAN/WAN)

7+ years of hands-on technical working experience with various Cisco, Fortinet, F5, Infoblox at an enterprise level capacity:

Hands-on technical working experience with Cisco ACI or similar software defined technologies

Strong communication (verbal/written) and good interpersonal skills to build relationships with internal and external business partners and vendors

Cisco Certified Network Professional (CCNP) certification a plus

• Develop Data Processes in support of our Integrated Asset Management and Reliability Centered Maintenance strategies

• Support FR&I engineering with processes, procedures and tools to utilize data management technologies

• An alternate combination of education and experience may be considered

• Minimum 4 (four)+ years of related experience

• Knowledge of pipeline facilities

• Demonstrated experience producing high-quality, error and omission-free deliverables within tight deadlines

Strong interpersonal skills required for requirement gathering

Extensive knowledge in the design and development of data pipelines (both streaming and ETL)

Knowledge of best practices in data warehousing required

Working knowledge of at least one industry standard tool for each of the following is required:

Experience designing and running testing scenarios required

Devops/sysops experience with Spark and Hadoop on clusters an asset

·Accountable to provide ad hoc project management for smaller corporate initiatives specific to new technology introduction.

·Education and experience (one of the following combinations):

oExperience coming up with standards-based designs that align with vendor capabilities and service-intent.

oDegree in Computer Science, with at least eight years of relevant wireless core technology experience. OR;

oDiploma or Certificate in Engineering Technology, with at least ten years of relevant wireless core technology experience.

·Must possess creative as well as analytical skills.

Must Have skills – Spark, Scala, AWS, Kafka

Role: Data Engineer (Support Role)

Good To have – Databricks

2. Maintain & support multiple data pipelines, includes error / bug fixes, platform upgrades & enhancements

3. Establish best engineering practices and operation excellence

Flexible hours of work and remote/work from home option

Data architecture experience in on-premises, cloud, and hybrid environments.

5+ years professional experience in a large enterprise (mandatory) or professional services (preferred) environment.

Exceptional oral, written, and listening communication skills.

Specific experience working with Public Service, Utility, and Telecommunication organizations of all sizes (strongly preferred).

Database architecture and data warehousing.

Strong skills in BI tools and Excel. Knowledge of PowerBI a plus

Familiar with Airflow for workflow management

Help create the environment for deploying RL (Reinforcement Learning) algorithm to manage campaigns.

5+ years of experience in data analysis role

3+ years of experience in Python, SQL, and visualization tool like PowerBI

Skilled in using data mining techniques, including supervised and unsupervised learning

• Bachelor’s degree or higher in a quantitative field OR strongly related project experience

• 3+ years of experience utilizing Python AND SQL

• Ability to exercise sound judgment and advise on decision-making utilizing your excellent communication skills

• Experience with data mining

• AWS & Spark or PySpark experience

hybrid (2x weekly in office)