Data Engineer Jobs
By OSL Retail Services At Mississauga, Ontario, Canada
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
Data Engineer-Scalable Data Pipeline - Canada
By Zortech Solutions At Mississauga, Ontario, Canada
Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge
Experience in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment
Experience of building data pipelines through Git, Shell, Spark with Java/Python on Hadoop or Object storage (S3/CEPH)
Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan
Strong communication skills - both verbal and written and strong relationship, collaboration skills and organizational skills
Nice to have development experience in Python based AI/ML workloads on Hadoop.
Data Engineer Jobs
By RBC At Mississauga, Ontario, Canada

Supporting project team to scale, monitor and operate data platforms for very high availability and performance.

Developing scripts and programs for converting various types of data into usable formats.

Senior Data Engineer - En
By Sobeys At Mississauga, Ontario, Canada
Leading tools and systems within our Data Management Products team
Both big-picture strategic and in-the-trenches tactical approach to data management
Experience with cloud platforms (Azure preferably), strong knowledge of data modeling, data architecture and data structures
Strong, success-focused team of energetic and experienced digital expert
Skills to assess business requests and provide response and direction quickly
Knowledge to support and mentor cross-function team members
Jr. Data Engineer Jobs
By Iris Software Inc. At Mississauga, Ontario, Canada
Primary Skills: Bigdata, Python, Spark, Hive and Data Security
• Big Data with Python & Spark Development experience
• Work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.
• Demonstrated work experience with the Hadoop Distributed File System (HDFS);
• Demonstrated work experience with Serialization such as JSON and/or BSON
• Cloud developer certification (Hadoop, Cloudera, other)
Senior Data Engineer Jobs
By Tailored Management At Mississauga, Ontario, Canada
5+ years of experience in software development and data engineering
Proven experience in designing and developing data pipelines and systems in a cloud environment, preferably AWS
Experience with data security, privacy, and compliance measures
Strong analytical and problem-solving skills
Excellent communication and collaboration skills
Knowledge of healthcare/pharmaceutical industry and related data standards and regulations is a plus
Mid-Level Architect (Hybrid) Jobs
By CRB At Mississauga, Ontario, Canada
Knowledge of, and/or experience with advanced technology industry projects including R&D labs, biotechnology, pharmaceutical, food & nutrition and/or consumer products
Develop and apply working knowledge of the International Building Codes as part of project delivery process.
Experience with the approvals process in Canada
Experience with Enscape, Rhino or other 3D modeling/visualization software
Excellent verbal and written skills
LEED Accreditation, WELL Certification or similar sustainability credentials
Development Officer, Mid-Level Giving
By London Health Sciences Foundation At London, Ontario, Canada
Working knowledge and/or experience with Raisers Edge an asset.
Monitors and actively engages in the moves management of donor/prospects focusing on exceeding defined key performance metrics.
Successful completion of a post-secondary degree or diploma and/or equivalent related work experience.
Minimum 4-5 years of direct fundraising experience.
Ability to manage multiple projects with competing deadlines with a high degree of accuracy.
Excellent interpersonal and communication skills; must be articulate and confident in written and verbal communication.
Project Coordinator - Mid Rise Condo
By Evertrust Development Group Canada Inc. At Niagara Falls, Ontario, Canada
Strong knowledge in high/mid-rise construction experience
Work with Project Manager to develop, drive, and implement project goals
Manage communications and deliverables from all stakeholders for project
Excellent verbal and written communication skills, problem solving skills, and attention to detail
3 years of residential construction experience
3 years of project coordinating experience
Data Engineer Jobs
By BOS Innovations Inc. At London, Ontario, Canada
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
Data Engineer Jobs
By Roots At York, Ontario, Canada
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.
Data Engineer Jobs
By Hamilton Health Sciences At Hamilton, Ontario, Canada
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
Project Manager - Mid Rise Residential
By OnPoint Talent Inc. At Welland, Ontario, Canada
· Self-motivated team leader withorganizational,leadership, time management and problem solvingskills
Salary and incentive program depending on experience, skills and performance
· Access to networks to hire, train and supervise staff and allocate responsibilities
· Working relationships and knowledge of material suppliers with Southern Ontario
· Able to estimate labor and material requirements and be accountable to stay within the project budget
· Able to manage changes to schedule and cost effectively and report on same
Production Coordinator: Technical Art (Mid/Senior)
By Rockstar Games At Oakville, Ontario, Canada
We proactively use knowledge and experience to identify and solve problems before they affect our development teams.
Understand the needs and workflows of the Shotgrid team and connected teams, proactively helping to streamline our project management processes.
Assign, prioritize, and track tasks using our in-house project management tools.
Positive, solution-oriented individual with a passion for game development and project management.
Help manage the flow of tasks and information between disciplines and team members.
Experience with Shotgrid, Confluence, and other project tracking and bug database software.
Data Engineer Jobs
By System1 At Guelph, Ontario, Canada
~ Good data engineering fundamentals, ETL experience and analytics skills required.
Experience in Cloud ecosystems like AWS is required. GCP, Azure are preferred.
SQL expertise, and preferably SQL query optimization experience.
Database design skills, both relational and non-relational, SQL and NoSQL.
Experience with Cloud data warehouses like BigQuery, Snowflake, Redshift preferred.
~Knowledge of data engineering mechanics, flow, distribution, optimization.
Data Centre Engineer Jobs
By DeRisk Technologies At Ottawa, Ontario, Canada
Experience with Tape Management activities
Excellent knowledge of best practices around management, control, and monitoring of server infrastructure
Updating and Recording of activities in relevant IT Ticket Management System
Providing loop-back cables in order to test circuits remotely
Provide support either through phone, remote tools, or in person at onsite
Knowledge of Infrastructure (Data Center and Network) hardware architecture as to understand the procedure shared by L3 teams during troubleshooting,H&E support
Geotechnical Mid Level Engineer, Kiewit Infrastructure Engineers
By Kiewit At Oakville, Ontario, Canada
Ensuring designs are completed with consistent application of design standards, technical approaches, and in accordance with the design quality management program.
Performing and coordinating with Geotechnical leadership to perform risk assessments and management reviews of temporary engineering tasks.
Collaborating with staff and the Engineering Project Management Team to develop work scopes and labor estimates.
Coordinating with the quality management team to train staff and implement the design quality management program.
Demonstrates strong verbal and written communication skills, with a demonstrated focus on interdisciplinary design coordination.
Identifying, developing, and aligning high performance teams and individuals to meet organizational goals and support construction projects.
Data Engineer Jobs
By Adastra At Markham, Ontario, Canada
Utilize knowledge and experience with GCP native tools such as Dataflow to identify and solve business problems and needs
Work with the business to understand and gather requirements
Perform skillset related to SQL and Python
5+ years of software engineering experience with a strong focus on data
5+ years of relevant Object-Oriented Programming (OOP) experience using Java and Python
5+ years of experience with relational databases (Teradata, Oracle, SQL Server) and Big Data technologies (Hadoop, Hive)
Data Engineer Jobs
By Altis Recruitment At Richmond Hill, Ontario, Canada
● In-depth knowledge of SQL / Python / MSSQLSERVER Operation.
● Working Knowledge of HTML
● In-depth knowledge of data pipeline, job scheduling
● Raw data cleaning and manipulation
● Collecting and standardizing raw data from various sources.
● Production Data Accuracy Control
Data Engineer - Arcadis Gen
By Arcadis At Port Hope, Ontario, Canada
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

Are you looking for an exciting opportunity to join a fast-growing data engineering team? We are looking for a Mid Data Engineer to join our team and help us build and maintain data pipelines and data warehouses. You will be responsible for designing, developing, and maintaining data pipelines and data warehouses to ensure data accuracy and integrity. You will also be responsible for developing ETL processes and data models to support our data-driven initiatives. If you have a passion for data engineering and a desire to work with cutting-edge technologies, this is the perfect job for you!

Overview:

Mid Data Engineers are responsible for designing, developing, and maintaining data systems and databases. They must have a strong understanding of data structures, algorithms, and software engineering principles. They must also be able to analyze and interpret data, as well as develop and implement data solutions.

How To Become an Mid Data Engineer:

To become a Mid Data Engineer, you will need to have a bachelor’s degree in computer science, mathematics, or a related field. You will also need to have experience with data engineering, database design, and software engineering. Additionally, you should have strong problem-solving and analytical skills.

Mid Data Engineer Skills:

• Data modeling
• Database design
• Data analysis
• Data mining
• Data warehousing
• ETL (Extract, Transform, Load)
• SQL
• NoSQL
• Python
• Java
• Hadoop
• Apache Spark
• Machine learning
• Cloud computing

What is Mid Data Engineer Knowledge?

• Data structures
• Algorithms
• Software engineering principles
• Database management systems
• Data security
• Data visualization
• Data governance
• Data quality

What is Mid Data Engineer Responsibilities?

• Design, develop, and maintain data systems and databases
• Analyze and interpret data
• Develop and implement data solutions
• Monitor data systems and databases
• Troubleshoot data system issues
• Optimize data systems and databases
• Ensure data security
• Create data visualizations

What is Mid Data Engineer Experience?

• Previous experience in data engineering, database design, and software engineering
• Experience with data modeling, data analysis, data mining, data warehousing, ETL, SQL, NoSQL, Python, Java, Hadoop, Apache Spark, machine learning, and cloud computing

What is Mid Data Engineer Qualifications?

• Bachelor’s degree in computer science, mathematics, or a related field
• Strong problem-solving and analytical skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

Mid Data Engineer Educations:

• Bachelor’s degree in computer science, mathematics, or a related field
• Master’s degree in computer science, mathematics, or a related field
• Professional certifications in data engineering, database design, and software engineering

Tools to Help Mid Data Engineer Work Better:

• Data modeling tools
• Database management systems
• Data visualization tools
• ETL tools
• Data mining tools
• Data warehousing tools
• Cloud computing platforms
• Machine learning frameworks
• Apache Spark
• Hadoop

Good Tips to Help Mid Data Engineer Do More Effectively:

• Stay up-to-date on the latest technologies and trends in data engineering
• Develop a deep understanding of data structures, algorithms, and software engineering principles
• Utilize data modeling tools to create efficient data systems and databases
• Use data visualization tools to create meaningful insights from data
• Leverage ETL tools to extract, transform, and load data
• Utilize data mining tools to uncover hidden patterns and relationships
• Utilize data warehousing tools to store and manage large amounts of data
• Leverage cloud computing platforms to scale data systems
• Utilize machine learning frameworks to automate data analysis
• Utilize Apache Spark and Hadoop to process large amounts of data

Common Mid Data Engineer Interview Questions:

• What experience do you have in data engineering, database design, and software engineering?
• What data structures, algorithms, and software engineering principles do you have experience with?
• How do you analyze and interpret data?
• What data modeling tools do you have experience with?
• How do you develop and implement data solutions?
• What experience do you have with data mining, data warehousing, ETL, SQL, NoSQL, Python, Java, Hadoop, Apache Spark, machine learning, and cloud computing?
• How do you ensure data security?
• How do you create data visualizations?