Data Networking Engineer Jobs

I have experience in role delivering and supporting software and data engineering capabilities.

Extends DevOps capabilities for deploying data solutions

I have strong SQL development and analytical skills

I have automated code testing experience

I have experience with cloud services within Azure- AWS- or GCP platforms

I have experience building APIs (experience with GraphQL is a plus)

Data engineering experience; expert level experience with SQL

• Experience with the cloud (AWS, Azure and/or Google Cloud Platform)

• Experience in cloud-based data warehouses (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics)

• Experience with cloud-based ETL/ELT tools (Matillion, Glue, Data Factory) and data modelling

• Experience with version control systems (Git, SVN)

Role : Data Engineer – Oracle+DataStage

Understanding of programming languages, databases, platforms, frameworks, design techniques and tools, code management tooling, and/or web technologies.

Experience with data transformation, engineering, cleaning, and mining

Experience with application of modern data science techniques

Excellent interpersonal and highly developed communication skills (verbal and written).

Excellent teamwork and collaboration skills.

Experience with machine learning algorithms, computational mathematics, bioinformatics or artificial intelligence.

Advanced knowledge and skills in SQL, SSIS, and SSMS. Minimum 5 Years of Hands-on Experience in SSIS and SSMS

Strong verbal and written communications skills with experience in relating complex concepts to non-technical users.

Bachelor’s degree in Computer Science or similar field or equivalent work experience.

5+ years of experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services.

Hands-on experience with the development of ELT/ETL processes in traditional and distributed environments

Experience as designer of complex Dimensional data models for analytics services.

Strong knowledge and understanding of the Canadian Cannabis Industry, including regulatory requirements, market dynamics, and key performance indicators.

Work closely with the team to identify opportunities for process improvement, automation, and enhancement of data analysis capabilities.

2 – 5 years experience in big data modeling and analytics

Proven experience as a Data Analyst or similar role, with a focus on Excel and Power BI dashboard development and maintenance.

Experience working with large datasets and applying data cleansing, transformation, and validation techniques.

Strong analytical and problem-solving skills, with the ability to extract insights from complex data sets.

Bachelor’s degree in computer science, OR an equivalent combination of education and/or experience

Minimum 1 day a week at the Montreal Office (Mondays) – subject to change at manager’s discretion

Strong analytical and organisational skills, with a passion for problem solving and uncovering and reconciling details.

Strong knowledge of data integration concepts

Experience in any of the following areas is a plus:

Knowledge of Big data ingestion

Experience in assessing customer requirements, architectural policy, procedures, and standards, and implementing technical and business solutions.

Experience providing technical advice and guidance to work teams, managers and executive.

Assess the existing IT infrastructure and align it with the requirements of M365 deployment.

Provide technical advice and guidance to teams, managers, and executives involved in the IMIT deployment project.

Senior expert level technical certifications are an asset

Senior level experience in Information Technology Solution and Enterprise Architecture.

Knowledge and experience with databases, SQL or PostgreSQL

In-depth understanding of database management systems and ETL (Extract, Transform, Load)

BSc/BA in Computer Science, Engineering, or relevant field and or relevant knowledge with experience

Excellent organizational, strong written and verbal communication skills

2+ years experience as a Data Engineer

2+ years experience with Python

Collaborate remotely with data scientists and engineers to understand data requirements.

Gain hands-on remote experience in the dynamic world of data engineering.

🌟 Exciting Data Engineer Internship Opportunity (Remote) at Dlytica Inc.! 🌟

Develop, monitor, and enhance remote data pipelines for data ingestion and transformation.

Work in tandem with experienced professionals to ensure data processes are performant and scalable.

Strong problem-solving skills and a collaborative mindset.

Assists management in developing RFP, RFQ, and handling departmental purchasing process.

Successful completion of a University Degree in Computer Science, Computer Engineering, Information Technology, or approved equivalent combination of education and experience.

Demonstrated knowledge and experience of software solutions development lifecycles/methodologies i.e. agile or other rapid application development methods.

Translates complex functional and technical requirements into detailed architecture, designs logical data models, physical databases, and high performing software solutions.

Minimum five (5) years demonstrated experience as a technology solutions architect/developer/ specialist or similar position/capacity.

Demonstrated experience in writing complex, highly-optimized SQL queries across large datasets. 

Experience with data pipeline and workflow management tools such as Airflow

2+ years of experience as a Data Engineer

Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)

Experience with Python and software engineering best practices

Knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components

Experience with Github and CICD processes

Desired Education, Skills, and Certifications:

Must have in-depth knowledge of Data Center Networking and various Cisco components that can deliver these capabilities.

QoS traffic management for example queuing, policing, shaping, etc.

Network management protocols for example PTP, NTP, DNS, DHCP, TACACS, RADIUS, etc.

Leads and/or supports Cisco customer delivery engagements and create and share technical collateral, documentation and deliver knowledge transfer.

CCIE in Data Center or Route & Switch Technologies or 8+ years of equivalent experience.

Experience with the following tools/languages for data management and manipulation: Informatica, MapReduce, Rest APIs, Attunity Qlik-Replicate, Scala

Bachelors Degree in Computer Science, Information Systems, or Computer Engineering and related AWS/Azure certifications.

Strong communication and interpersonal skills, proven ability to work with both technical & non-technical stakeholders

Experience leading data projects from problem identification to production.

Experience supporting ML and AI experiments, business intelligence, data science models and reporting.

Experience with Salesforce, Guidewire and insurance industry preferred

• Bachelor’s or Master’s Degree in Business Intelligence, Machine Learning, Business Management,

• Experience in Power BI

• Have 5+ years of experience in data engineering or data infrastructure roles

• Experience in Rest API

• Possess expert Python skills (PySpark, Pandas, Scikit Learn, Numpy, Boto3, Glue + Spark Context)

• Experience with data pipeline technologies, data modelling (Star schemas, Snowflake, and

If you are a networking specialist and have experience teaching the below courses, please apply.

·Minimum 3 or more years of teaching and 5 years of industry work experience

·Previous teaching experience is preferred.

Strong leadership and teaching skills with a strong commitment to academic excellence and student success.

1 - Windows System Admin

2 - Windows Server Admin

Demonstrable skills in database management

Enterprise Asset Management software experience

Manage outputs and quality throughout delivery of a project ensuring all work packages align to the project scope.

Ensure the services and software delivered fully meets client expectations and delivers value in terms of realisation of business benefits.

Experience in Analysing and organising raw data.

Experience of delivery of client facing projects, ideally in a consultancy environment

Strong project management and organizational skills.

Utilize SQL and Python expertise for efficient data processing and pipeline management

Design efficient data models, diagrams, and schema designs to effectively manage vast machine data

Build and maintain scalable data pipelines and API integrations to manage data complexity and volume effectively

Ensure our systems comply with business requirements and industry standards for data quality, security, and privacy

Design and manage ETL pipelines

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

Modern approaches to Data Process Orchestration and Platform Management including automation, DataOps, and cloud-native development

10+ years of experience as a Software Engineer, Data Engineer, Senior Developer, or Data Scientist

Knowledge of how to use the AWS stack of services to its fullest potential

Experience in multiple data languages like Javascript and Python

Relevant technical experience and interest in working with spatial-temporal data, data analytics, streaming data processing, distributed systems etc.

Senior Data Engineer Mandatory Skills:

Champion the implementation of modern data management methodologies and skills across PressReader’s engineering team

Team management or tech lead experience

Oversee the creation and management of an organization-wide data catalog

Analyze corporate data, design and manage the development of data analytics and other data management solutions

Lead organizational strategy for management of sensitive data

Work closely with the CTO and Product Manager, Data to envision, design, and communicate PressReader’s next-generation data architecture