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Mid Data Engineer Jobs

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 Analyst / Engineer Jobs
By Muflehun At Greater Toronto Area, Canada
Bachelor’s degree in data science/machine learning or a quantitative discipline and 5+ years industry experience.
Strong ability in Python (experience with pandas, scikit, NumPy and similar common packages) and SQL
Experience with geographic data a big plus. Geospatial analysis tools (ArcGIS, QGIS),libraries (Geopandas) and formats (Shapefiles)
Self-motivated and able to manage daily priorities with minimal oversight and direction
Benefits and Perks for Full-time Staff
Integrating a growing set of data sources, ingesting, cleaning, and processing them for use in our modeling processes
Data Engineer 7192023 Jobs
By GC Brokers At Canada
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
Senior Data Engineer Jobs
By Procom At Calgary, Alberta, Canada
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:
Senior Data Engineer Jobs
By PressReader At Richmond, British Columbia, Canada
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
Data Engineer Jobs
By Manulife At Waterloo, Ontario, Canada
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.
Data Engineer Jobs
By Epsilon Solutions Ltd. At North York, Ontario, Canada
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
Data Engineer/Data Modeler
By Tata Consultancy Services At Toronto, Ontario, Canada
• Experienced with Workflow Management Tools: Airflow, Crontab, CA Workload Automation
• Previous work experience in the financial sector (insurance or benefits industry)
• Experienced with working on Structured and Semi-Structured datasets
• Experienced in creating data pipelines & developing complex and optimized queries
• Experience with implementing CI / CD pipeline on GitHub, Jenkins / JGP
• Experience writing complex SQL and NoSQL jobs to analyze data in traditional DBMS (MS-SQL, Oracle) environments
Data Engineer (Co-Op) Jobs
By Joseph Brant Hospital & Foundation At Burlington, Ontario, Canada
Strong knowledge of database principles and familiarity with Relational Database Management Systems
Conceptual knowledge of any programming language
Strong interpersonal and communication skills to function within a complex interdisciplinary environment
Knowledge of Python, C#, and Source Control Systems e.g. Git or Azure DevOps are a plus
Current enrolment in Computer Science or Engineering, or a related discipline
Proper understanding of database normalization, transactions, and architecture
Senior Data Engineer Jobs
By Capgemini At Vancouver, British Columbia, Canada
Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)
Other perks and wellness benefits like discount programs, and gym/studio access.
Tuition assistance and weekly hot skill development opportunities
Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
Analyzes scope of alternative solutions and makes decision about area implementation based on their experiences and technical expertise.
Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms
Head Of Administration (Remote Position) At Mid-Size Firm
By VeraSafe At Winnipeg, Manitoba, Canada
Oversee the management of customer records through CRM updates
Provide responsive support to colleagues using our project management, CRM, and accounting applications
Manage and ensure the high-functioning of VeraSafe’s Administration Department
Great personal skills and fluent in English
Exceptionally detail-oriented individual with a highly organized/structured work ethic and top-notch organizational skills
Representative Responsibilities of the Head of Administration:
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.
Mid-Level Backend Engineer - Elixir
By Remote At Canada
Solid knowledge and experience in Elixir and Postgres (or similar database)
Competitive salary, stock options, unlimited PTO and a set of perks and benefits.
Strong team of experienced engineers who will support and facilitate your professional growth.
Significant experience as a Backend Engineer, which includes building, shipping and maintaining a complicated software project
Experience in dealing with ambiguity, taking abstract concepts and turning them into working software
Experience working in HR- or Fintech projects is a plus
Mid Rise Superintendent Jobs
By Ace Recruitment Canada At Toronto, Ontario, Canada
- Excellent organizational and time management abilities.
- Strong leadership skills with the ability to manage and motivate on-site teams.
- Previous experience as a Superintendent in mid-rise residential construction projects.
- Solid knowledge of construction processes, building codes, and safety regulations.
- Effective communication and interpersonal skills.
- Problem-solving and decision-making capabilities.
Data Engineer Jobs
By Hays At Calgary, Alberta, Canada
• 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
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 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
Data Engineer, Data Platform
By Grammarly At Vancouver, British Columbia, Canada
Has experience with Python, Scala, or Java.
Has experience with designing database objects and writing relational queries
Has experience designing and standing up APIs and services.
Has experience with system design and building internal tools.
Has experience handling applications that work with data from data lakes.
Has at least some experience building internal Admin sites.
Data Engineer (Hybrid) Jobs
By TestingXperts At Toronto, Ontario, Canada
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
Call : : +1 (6317598044) EXT : 451

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?