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Hadoop Python Jobs in Ontario (NOW HIRING)

Royal Bank of Canada

Sr. Quality Engineer

Toronto, ON · On-site

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 ...

GFR Technologies SE

Data Engineer

Toronto, ON · On-site

... 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 ...

Scotiabank

Data Engineer

Toronto, ON

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 ...

Scotiabank

Data Scientist - AI/ML

Toronto, ON

Write and maintain high-quality Python code to preprocess, process, and analyze large volumes of ... Experience with big data tools such as SQL, Hadoop, and Spark. * Proven ability to ingest, clean ...

TMX Group

Senior Data QA Analyst

Toronto, ON · Hybrid

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 ...

PwC

Lead Data Consultant, Manager

Ottawa, ON · On-site

CA$112K - CA$162K/yr

Proficiencyin big data technologies and tools such as Spark/PySpark, Hadoop, Hive, Kafka * Proficiencyin common machine Learning libraries in Python, Spark, and Deep Learning/AI frameworks considered ...

MCKESSON

Sr Data Specialist

Mississauga, ON · On-site +1

Write and optimize advanced queries using SQL and Python to improve data processing, performance ... Familiarity with big data and distributed technologies such as Hadoop, Kafka, and distributed file ...

Scotiabank

Data Scientist

Toronto, ON

They will use AI/ML, experimentation, visualization, and robust Python skills to solve high-impact ... Experience with big data tools such as SQL, Hadoop, and Spark. Experience applying AI and GenAI ...

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All JobsHadoop Python JobsHadoop Python Jobs in Ontario

Hadoop Python information

Is Hadoop admin a good career?

Hadoop administration is a viable career path for those interested in managing big data infrastructure, requiring skills in Hadoop ecosystem tools, Linux, and scripting. It offers opportunities in data management, analytics, and cloud environments, with demand driven by data-driven business needs. Certifications like Cloudera or Hortonworks can enhance job prospects.

Are Python still in demand in 2026?

Python remains highly in demand for roles like Hadoop Python developers, as it is widely used for data processing, scripting, and automation in big data environments. Its versatility and strong community support ensure continued relevance, especially when combined with skills in Hadoop, Spark, and cloud platforms.

Does Hadoop work with Python?

Hadoop can work with Python through tools like Hadoop Streaming, which allows Python scripts to process data within Hadoop jobs. Additionally, frameworks such as PySpark enable Python developers to work with Apache Spark on Hadoop clusters for big data processing. Knowledge of these tools is beneficial 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.

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:
Hadoop Python jobs near you
Sr Developer - Data Engineering - Mississauga

Sr Developer - Data Engineering - Mississauga

Photon

Mississauga, ON • On-site

Full-time

Posted 15 days ago

Job description

Qualifications:

  • Strong communication skills
  • Experience of Agile development and scrums
  • Banking and securities domain knowledge would be an added advantage

Skills Required:

  • Strong experience working across the entire SDLC lifecycle
  • Programming experience in one or more application or systems languages, Python - Primary, Scala - Secondary (basic knowledge)
  • Strong experience working with Python concepts and libraries such as Jupyterhub, Airflow, Pandas, NumPy etc.
  • Good experience with classes based OOP and design patterns
  • Distributed Systems Design Experience - including understanding of distributed systems concepts and principles
  • Knowledge and understanding of Kerberos and authentication
  • Hadoop Ecosystem of Tools (Spark, Hive, Impala, etc).
  • Experience extending and implementing core functionality and libraries in data processing platforms (Spark / Spark SQL, Hive, Starburst, etc)
  • Strong experience working with the CI/CD pipeline and tools like Jenkins , Harness/Tekton, Udeploy/Ansible,Bitbucket, Jira
  • Strong experience in cloud platforms like  Kubernetes, OpenShift4
  • Ability to deal with multiple stakeholders and follow through on open issues.
  • A commitment to writing understandable, maintainable, and reusable software.
  • Willingness to learn new languages and methodologies.
  • Experience working with business partners and engineers to gather, understand, and bridge definitions and requirements.
  • An innate desire to deliver and a strong sense of accountability for your work.

Education:

  • Bachelor's degree/University degree or equivalent experience

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