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Hadoop Python Jobs in Ontario (NOW HIRING)

... skills in Python, Scala, or Java Hands-on experience with SQL and relational databases (e.g ... Spark, Hadoop) Understanding of data modeling concepts (star/snowflake schema) Nice to Have ...

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The ideal candidate will have a solid foundation in Python, with exposure to Spark, Hadoop, and cloud platforms considered a strong asset. This role offers hands-on experience, mentorship, and ...

... Python and SQL * Have built solutions with public cloud providers such as AWS, Azure, or GCP * Expertise in one of the following: * Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) * Data ...

You will use Python to build automation frameworks that simulate thousands of real-time trades ... Big Data Tech: Experience with Hadoop, Spark, or Hive. * Shell Scripting: Working knowledge of ...

In-depth experience with Python, SQL Experience using advanced tools such as Hadoop, HIVE etc. and working knowledge with relational and non-relational modeling, database applications and ...

In-depth experience with Python, SQL Experience using advanced tools such as Hadoop, HIVE etc. and working knowledge with relational and non-relational modeling, database applications and ...

Unix shell scripting, python or other programming language * Networking and Linux administration * SQL * DevOps CICD/ tools/GIT/Jenkins * Monitoring and logging tools * Hadoop Cluster/spark/hive ...

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Hadoop Python information

Is Hadoop a good career?

Hadoop Python roles involve working with big data processing using Hadoop frameworks and Python programming. These jobs are in demand in data-driven industries, often requiring knowledge of distributed systems, data analysis, and related tools like Spark or Hive. Careers in this field can offer growth opportunities with relevant certifications and experience in data engineering or analytics.

Does Hadoop work with Python?

Hadoop can work with Python through tools like Hadoop Streaming, which allows developers to write MapReduce jobs in Python. Additionally, frameworks such as PySpark enable Python integration with Apache Spark, often used alongside Hadoop for big data processing. Knowledge of these tools is valuable for Hadoop Python roles.

What are the key skills and qualifications needed to thrive as a Hadoop Python Developer, and why are they important?

To thrive as a Hadoop Python Developer, you need a strong understanding of distributed computing, Hadoop ecosystem components (like HDFS, MapReduce, Hive, or Pig), and advanced Python programming skills, often supported by a degree in computer science or related field. Familiarity with tools such as Apache Spark, Sqoop, and workflow schedulers (like Oozie or Airflow), along with experience in handling big data platforms, is typically required. Problem-solving abilities, attention to detail, and effective communication help developers collaborate with teams and translate business requirements into scalable data solutions. These skills and qualifications are essential for efficiently processing and analyzing large datasets, ensuring data reliability, and driving business insights.

What is the highest paying job in Python?

The highest paying Python-related jobs include roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst, often requiring advanced skills in algorithms, statistics, and frameworks like TensorFlow or scikit-learn. These positions typically offer salaries exceeding $120,000 annually, especially with experience and relevant certifications.

What is the difference between Hadoop Python vs Hadoop Java Developer?

AspectHadoop PythonHadoop Java Developer
Required CredentialsPython programming skills, Hadoop certificationsJava programming skills, Hadoop certifications
Work EnvironmentData analysis, scripting, data pipeline developmentCore development, system integration, big data application coding
Industry UsageData science, analytics, machine learning projectsData infrastructure, platform development, system optimization

Hadoop Python and Hadoop Java Developer roles both involve working with Hadoop ecosystems, but Python focuses more on data analysis and scripting, while Java is geared towards core development and system integration. The choice depends on your programming expertise and career goals within big data environments.

What is a Hadoop Python developer?

A Hadoop Python developer is a software professional who specializes in using Python programming language to develop, implement, and maintain applications that process and analyze large datasets within the Hadoop ecosystem. They leverage Python libraries like PySpark to write scalable data processing scripts, interact with Hadoop components such as HDFS, and optimize big data workflows. These developers play a critical role in building data pipelines, performing data transformation, and supporting analytics projects in organizations that handle vast amounts of data.

What is the salary of Hadoop engineer?

The salary of a Hadoop engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in big data tools and programming languages like Python can command higher salaries in this field.

How do Hadoop Python developers typically collaborate with data engineers and analysts on large-scale data projects?

Hadoop Python developers frequently work alongside data engineers and analysts to design, implement, and optimize data pipelines for handling vast datasets. They are responsible for writing Python scripts that interface with Hadoop components, ensuring data is processed efficiently and meets project requirements. Regular communication with data engineers helps align on infrastructure and architectural decisions, while close collaboration with analysts ensures data outputs are accurate and actionable. Agile methodologies and daily stand-ups are common, fostering teamwork and quick problem-solving.
What are popular job titles related to Hadoop Python jobs in Ontario? For Hadoop Python jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Hadoop Python jobs in Ontario look for? The top searched job categories for Hadoop Python jobs in Ontario are:
Sr. Quality Engineer/Developer

Sr. Quality Engineer/Developer

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Posted 6 days ago


Job description

Job Description

What is the opportunity?

The RBC Team is hiring for Sr. Quality Engineer/Developer role within GFT Team. As a Sr. Quality Engineer/Developer, you provide support for a suite of business mission-critical and complex applications, understanding both front and back-end of the applications. The technology platform spans the breadth of Linux and Cloud environments, Python, Big data/Hadoop and ML platforms. Leads and hands on in the quality control and QE testing of cross-functional, multi-platform application systems. Takes pride in writing robust, fault-tolerant, self-healing code, ensuring system reliability. You'll work closely with architecture, DevOps, business, and analytics teams to deliver systems that meet enterprise-grade standards for performance, observability, security, and maintainability. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

What will you do?

  • Coordinating coding, testing, implementation and documentation of application solutions.

  • Lead and hands on: Create test plans, test cases and test scripts based on complex requirement documents and business User Stories

  • Lead and hands on: Develop and maintain automated test suites

  • Lead and hands on: Execute automated test cases, document test results and raise defects whenever necessary.

  • Be responsible for component or end-to-end tracking of issues, as required

  • Work with JIRA, Confluence, qTest for test case management, defect management, test reporting and other functions

  • Participate in defect triage and Scrum meetings

  • Test new technologies and system functionality to ensure business acceptance, user acceptance and system integration

  • Effectively collaborate with team members, stakeholders and business partners from initiation to close by using strong communication, rapport building and other stakeholder management techniques

  • Continually enhance your own skills and build knowledge in all aspects of the organization, the business and information systems.

  • Use AI to improve QE/DEV efficiently.

  • Design, develop, deploy, and maintain production-grade Python applications for batch data processing, APIs, and web applications.

  • Build and maintain CI/CD pipelines with tools such as GitHub Actions, automating build, test, and deployment workflows

What do you need to succeed?

Must-have

  • Good knowledge of QE Processes/Testing Methodologies, Testing Life Cycle, SDLC and Defect Management processes for application testing, development and support; hands on experience on qTest, JIRA and Confluence.

  • Experience on QA/test environment with a focus on technical, automated testing in a variety of environments (Cloud, Unix/Linux, big data/ Hadoop, data warehouse).

  • Strong problem solving, design, and analytical skills and out of the box thinking coming up with creative solutions on testing approach in critical timelines.

  • Good hands-on experience in coding (e.g. Python, Java.).

  • Excellent on SQL script writing.

  • Good experience on ETL testing.

  • Solid understanding of CI/CD automation (GitHub Actions preferred) and Git-based workflows.

  • Experience on Agile projects.

  • Excellent communication skills and effective negotiation skills.

  • Computer Engineering, Computer Science degree/diploma or equivalent experience

Nice-to-have

  • Experience in a variety of test automation frameworks/tools (e.g., SoapUI/ReadyAPI, Postman, Selenium, JMeter).

  • QA related certification. E.g. ISTQB, Agile testing etc.

  • Copilot.

  • Experience on Machine Learning projects.

  • Experience deploying, monitoring, and debugging applications in the cloud (e.g., AWS EC2, ECS, Lambda, S3, RDS)

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition

  • Leaders who support your development

  • A dynamic, collaborative, and high-performing team

  • Opportunities to do challenging work and grow your career

  • Work-life integration

  • Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement

Job Skills

Agile Projects, Amazon S3, Apache JMeter, Atlassian JIRA, Automated Testing, Big Data Hadoop, Cloud Applications, Cloud DevOps, Data ETL, Data Warehousing (DW), Defects Management, Defect Triage, DevOps, ETL Processing, GitHub, GitHub Actions, GitHub Copilot, Linux, Machine Learning (ML), Microsoft Copilot, Python (Programming Language), Selenium, SoapUI, SQL Query Writing, Test Case Design

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-17

Application Deadline:

2026-06-24

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME