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Mid Data Engineer Jobs

Project Manager (Mid-Senior Level) (Equest)
By BCJobs At Vancouver, British Columbia, Canada
ERM Certification and Verification Services (ERM CVS)
Managing planning and project budgets, including proposal development, updating of internal budget tracking tools, and invoicing of multiple complex projects
Supporting the recruitment, development and training of staff as the business develops.
It - Data Engineer
By The Kraft Heinz Company At Toronto, Ontario, Canada
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 Engineer/Datastage Engineer
By KTek Resourcing At Canada
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
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.
Data Engineer, Rbc Amplify - 2024
By RBC At Toronto, Ontario, Canada
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.
Mid-Level Creative Team Jobs
By Sasha the Mensch At Toronto, Ontario, Canada
3/4 years of experience in advertising agencies.
Ideally, they are looking for a team, but are also open to solo creatives.
Independent creative advertising agency is looking for a mid-level Copywriter and Art Director to join their team.
If you feel you could be a good candidate, please feel free to apply!
Data Engineer(Ssis) Jobs
By Quantiphi At Canada
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.
Data Engineer Jobs
By Motif Labs At Aylmer, Ontario, Canada
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.
Ingénieur, Données | Data Engineer
By The CSL Group Inc. At Montreal, Quebec, Canada
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
Mid Level Fullstack (React.js/Node.js)- Canada
By Zortech Solutions At Toronto, Ontario, Canada
4-7 years of professional experience as a software developer.
Strong working experience as a Full Stack developer in React.js, workflow, Redux, Node.js, React Native.
Development experience in designing object-oriented JavaScript.
Experience with RESTful APIs for developing enterprise applications.
Experience in Unit Testing (JEST).
Excellent communication and teamwork skills.
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 - Internship
By DLytica Inc. At Canada
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.
Data Engineer Jobs
By York Region (The Regional Municipality of York) At Newmarket, Ontario, Canada
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. 
Bi Data Engineer Jobs
By Integriti At Toronto, Ontario, Canada
The candidate should have experience in creating dataflows using Azure Data Factory and familiarity with the Medallion Architecture is highly desirable
Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.
Excellent written, verbal, and presentation skills targeted at all levels of the organization
Designing and building interactive insightful data products using Power BI, ML and Azure
Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
Data Engineer (De)- Canada
By Zortech Solutions At Toronto, Ontario, Canada
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
Mid-Level Website Developer Jobs
By Pattern Learning AI - Career & Tech Recruitment Reimagined! At Toronto, Ontario, Canada
Top-notch programming skills and in-depth knowledge of modern HTML/CSS
A solid understanding of how web applications work including security, session management, and best development practices
Minimum 2 year of work experience - Remote (US/Canada residing people only, with work permit)
Gather and refine specifications and requirements based on technical needs
2 years proven working experience in web programming
Adequate knowledge of relational database systems, Object Oriented Programming and web application development
Data Engineer/Analyst Jobs
By NielsenIQ At Toronto, Ontario, Canada
Version Control Systems Knowledge: Such as Git, for code collaboration and management
Project Management Skills: Ability to manage multiple projects and deadlines
Build flexible solutions that can adapt quickly to changing requirements
4+ years of experience programming in Python and SQL
PySpark Experience: Nice to have
Experience with ETL Tools and Processes: Such as Apache Airflow, Informatica, for extracting, cleansing, and standardizing data
Data Engineer Jobs
By BCAA At Burnaby, British Columbia, Canada
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
Data Engineer Jobs
By TEEMA At Vancouver, British Columbia, Canada
• 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
Data Engineer - Arcadis Gen
By Arcadis At 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?