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Big Data Engineer Intern Jobs in Toronto, ON (NOW HIRING)

Centraprise

Big Data Engineer

Toronto, ON

Big Data Engineer Employment Type : T4 - Contract Location : Toronto, ON (Onsite) : Skills - Well versed with Data , ETL Processes, SQL and high-level programming languages such Scala, Java ...

TMX Group

Big Data Engineer

Toronto, ON · Hybrid

We are seeking a seasoned and motivated Big Data Engineer to join our growing Enterprise Data and Advanced Analytics Platform team. The ideal candidate is an expert data pipeline builder and data ...

TechBlocks

Data Engineer

Vaughan, ON · On-site

Role: GCP Data Engineer Location: Vaughan, ON Type: Full Time - Contract 6 months (Extendable ... The ideal candidate will have experience working with Python and big data technologies such as ...

ShyftLabs

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

We're growing fast and we're looking for passionate problem-solvers who are ready to turn big ideas into real outcomes. The Opportunity ShyftLabs is seeking a skilled Data Engineer to support in ...

I-cube Software Llc

Data Engineer

Toronto, ON · Remote

CA$35 - CA$55/hr

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 ...

Scotiabank

Data Engineer

Toronto, ON · On-site

The Data Engineer will play a critical role in designing, building, and supporting scalable, secure ... Working knowledge of Java and/or Scala, especially in Spark or big data processing environments.

Konrad

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical ... Familiarity with DevOps practices and CI/CD pipelines. Perks and Benefits * Comprehensive Health ...

MPA Recruitment

Data Engineer

Toronto, ON · On-site

As a Senior Data Engineer, you will be responsible or designing and developing data processing and ... Big Data technologies. The role encompasses the full software lifecycle including design, code ...

Synechron

Cloud Data Engineer

Mississauga, ON · On-site

CA$125K - CA$130K/yr

Role: Cloud Data Engineer The Cloud Data Engineer is responsible for designing, building, and ... Optimize Databricks jobs for performance and scalability to handle big data workloads. * Monitor ...

Manulife

Data Engineer

Toronto, ON · On-site

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Ability to learn and implement best practices of big data and cloud computing to ensure solutions ...

Manulife

Data Engineer

Toronto, ON · On-site

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Ability to learn and implement best practices of big data and cloud computing to ensure solutions ...

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... We're a growing data product company making a big impact with Fortune 500 clients and as we scale ...

Manulife

Summer Intern 2027 - Data Engineering

Toronto, ON · Hybrid

CA$52K - CA$70K/yr

As a Data Engineer Intern, you'll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You'll work with modern data tools and platforms ...

TheAppLabb

Data Engineer

Toronto, ON · On-site

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ... Big Data Technologies (e.g., Spark, Hadoop). · Knowledge of Cloud Platforms (AWS, GCP, or Azure ...

The App Labb

Data Engineer

Toronto, ON · On-site

As a Data Engineer at TheAppLabb, you will be responsible for designing, developing, and optimizing ... Expertise in Big Data Technologies (e.g., Spark, Hadoop). Knowledge of Cloud Platforms (AWS, GCP ...

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Big Data Engineer Intern information

What does a Big Data Engineer Intern do?

A Big Data Engineer Intern assists with designing, building, and maintaining large-scale data processing systems. They often work with technologies such as Hadoop, Spark, and SQL to manage and analyze large datasets. Interns may help develop data pipelines, clean and organize data, and support senior engineers in optimizing data workflows. This role provides hands-on experience in handling big data tools and working on real-world data engineering projects.

What are the key skills and qualifications needed to thrive as a Big Data Engineer Intern?

To thrive as a Big Data Engineer Intern, you need a solid understanding of programming (especially Python, Java, or Scala), data structures, and basic knowledge of distributed computing concepts, typically supported by coursework or relevant projects. Familiarity with big data tools like Hadoop, Spark, and data querying languages such as SQL, as well as exposure to cloud platforms like AWS or Azure, is highly valuable. Strong analytical thinking, problem-solving abilities, and communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills and qualities are crucial for handling large-scale datasets and supporting the development of data-driven solutions within engineering teams.

What are some common challenges a Big Data Engineer Intern might face when working with large datasets?

As a Big Data Engineer Intern, you'll often encounter challenges related to managing the scale and complexity of massive datasets. These can include optimizing data ingestion pipelines for speed and efficiency, troubleshooting data quality issues, and ensuring data privacy and security. Additionally, you may need to quickly learn new tools or frameworks, such as Hadoop or Spark, and collaborate closely with data scientists and engineers to ensure data is structured and accessible for analysis. Developing problem-solving skills and being proactive in seeking help from your team can help you overcome these hurdles.

What is the difference between Big Data Engineer Intern vs Data Engineer?

AspectBig Data Engineer InternData Engineer
CredentialsRelevant coursework, some internshipsBachelor's or master's in CS, experience preferred
Work EnvironmentInternship, learning-focused, entry-level projectsFull-time, professional projects, team collaboration
Industry UsageTech, finance, healthcare, startupsSame industries, more responsibility
Search & Comparison IntentEntry-level, internship opportunitiesCareer advancement, full-time roles

The main difference between a Big Data Engineer Intern and a Data Engineer is experience level and responsibility. Interns are typically students or early learners gaining exposure, while Data Engineers are full-time professionals managing complex data systems. Internships serve as stepping stones toward full-time data engineering careers.

What are the most commonly searched types of Big Data Engineer jobs in Toronto, ON?

The most popular types of Big Data Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Big Data Engineer Intern jobs?

Cities near Toronto, ON with the most Big Data Engineer Intern job openings:

Big Data Engineer Intern jobs near you

Big Data Engineer

Centraprise

Toronto, ON

Full-time

Posted 7 days ago

Job description

Job Title : Big Data Engineer

Employment Type : T4 - Contract

Location: Toronto, ON (Onsite)


Job Description :


Skills – Well versed with Data , ETL Processes, SQL and high-level programming languages such Scala, Java, DevSecOps


Detailed Job Description:


What will you do?


· Work within an Agile cross functional team to design, develop and maintain data ingestion flows and evolve the platform to orchestrate them.

· Design and implement data pipelines, framework and ETL processes.

· Ensure data quality, security, and performance.

· Develop and optimize SQL queries, stored procedures, and views.

· Integrate Snowflake with other data sources and BI tools.

· Monitor and troubleshoot data jobs and platform issues.

· Develop and maintain comprehensive documentation for data pipelines, transformations, and data models.


What do you need to succeed?


· 8+ years of Experience with Big Data technologies used for ETL: Hadoop, Spark, Hive

· Well versed with Snowflake Platform.

· Strong SQL skills and knowledge of data modeling.

· Programming Experience with Scala or Java an API Development.

· Experience with ETL tools (e.g., Informatica, Talend, Apache Airflow).

· Familiarity with any of the cloud platforms (Preferably AWS).

· Knowledge on Gen AI to generate code and improve developer proficiency

· Knowledge of Python or other scripting languages is a plus.

· Excellent problem-solving and communication skills.

· Knowledge of SCM, Infrastructure-as-code, and CI/CD pipelines.


Nice to Have

· Experience with workflow management tools like: Apache Airflow

· Experience with Continuous Integration tools – Git Actions, GitHub, Automated Testing tools, Git, or similar tools.

· Experience with Docker/Kubernetes/Containers/OCP4

· Shell Scripting

Bachelor’s or master’s degree in computer science, Data Engineering and, or a related field.

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