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Part Time Sql Data Engineer Jobs in Toronto, ON (NOW HIRING)

Data Engineer

Toronto, ON · Remote

CA$35 - CA$55/hr

Demonstrated work experience in the following with Big Data and distributed programming models and technologies Knowledge of database structures, theories, principles, and practices (both SQL and ...

Associate, Data Engineer

Toronto, ON · On-site

CA$90K - CA$120K/yr

We leverage the latest data engineering and analytics technologies to solve complex business ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Our engineers and designers harness cloud-native tools, autonomous agents, data-driven insights ... Proficiency in SQL, with working knowledge of Python for automation, validation, and pipeline ...

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

Strong programming skills (Python preferred) and experience with cloud technologies. Familiarity ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

SYSTEMS INTEGRATOR 1

Toronto, ON · On-site

CA$52.38 - CA$57.39/hr

... data integration and reporting tool using SSIS and ETL processes. * Be able to work with competing ... City of Toronto employees must apply to full-time or part-time employment opportunities posted on ...

Business Analyst

Toronto, ON · Hybrid

CA$85K - CA$105K/yr

Experience with Power Automate, SQL, VBA/macros, or data automation tools considered an asset ... We offer a 40% child care discount to ALL Full-time employees & 10% to Part-time employees so that ...

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Part Time Sql Data Engineer information

What is the difference between Part Time Sql Data Engineer vs Part Time Data Analyst?

AspectPart Time Sql Data EngineerPart Time Data Analyst
Primary RoleDesigning, building, and maintaining data pipelines and databases using SQLAnalyzing data sets to generate reports and insights using SQL and visualization tools
Required SkillsSQL, data modeling, ETL processes, database managementSQL, data visualization, statistical analysis, reporting tools
Work EnvironmentData engineering teams, IT departments, cloud platformsBusiness units, marketing, finance, analytics teams
Common UsageDeveloping data infrastructure for applicationsInterpreting data to support decision-making

While both roles require SQL skills and work with data, Part Time Sql Data Engineers focus on building and maintaining data systems, whereas Part Time Data Analysts primarily analyze data to produce reports and insights. Understanding these differences helps in choosing the right part-time role based on your skills and career goals.

What are the most commonly searched types of Sql Data Engineer jobs in Toronto, ON? The most popular types of Sql Data Engineer jobs in Toronto, ON are:
What job categories do people searching Part Time Sql Data Engineer jobs in Toronto, ON look for? The top searched job categories for Part Time Sql Data Engineer jobs in Toronto, ON are:

Data Engineer

I-cube Software Llc

Toronto, ON • Remote

CA$35 - CA$55/hr

Part-time

Re-posted 3 days ago


Job description

Hybrid Hadoop Engineer and Hadoop Infrastructure Administrator to build and maintain a scalable and resilient Big Data framework to support Data Scientists. As an administrator, your responsibility will be to deploy and maintain Hadoop clusters, add and remove nodes using cluster management and monitoring tools like Cloudera Manager, and support performance and scalability requirements, in support of our Data scientist's needs. Some Relational Database administrator experience will also be desirable to support the general administration of Relational Databases.

Design, build, and maintain Big Data workflows/pipelines to process a continuous stream of data with experience in end-to-end design and build process of Near-Real-Time and Batch Data Pipelines.


Demonstrated work experience in the following with Big Data and distributed programming models and technologies
Knowledge of database structures, theories, principles, and practices (both SQL and NoSQL).
Active development of ETL processes using Spark or other highly parallel technologies, and implementing ETL/data pipelines
Experience with Data technologies and Big Data tools, like Spark, Kafka, Hive
Understanding of Map Reduce and other Data Query and Processing and aggregation models
Understanding of challenges of transforming data across distributed clustered environment
Experience with techniques for consuming, holding, and aging out continuous data streams
Ability to provide quick ingestion tools and corresponding access APIs for continuously changing data schema, working closely with Data Engineers around specific transformation and access needs

Preferred:

Experience as a Database administrator (DBA) will be responsible for keeping critical tools database up and running
Building and managing high-availability environments for databases and HDFS systems
Familiarity with transaction recovery techniques and DB Backup

Skills and Attributes:

Ability to have effective working relationships with all functional units of the organization
Excellent written, verbal, and presentation skills
Excellent interpersonal skills
Ability to work as part of a cross-cultural team
Self-starter and Self-motivated
Ability to work without lots of supervision
Works under pressure and is able to manage competing priorities.

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