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Hadoop Python Jobs in Ontario (NOW HIRING)

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 ...

Lead Data Consultant, Manager

Toronto, 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 ...

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 ...

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 ...

Lead Data Consultant, Manager

Toronto, 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 ...

Logstash, Python, SQL Server, Kafka, Hadoop, Spark, Trino * API: Streamlit, Flask, Node.JS, Django, and Microservices technologies * Automation/DevOps: Github Actions, Airflow, UCD, Selenium and ...

Design, develop, and maintain largescale Spark applications using Python, Scala, and/or Java ... Experience migrating Spark jobs from onprem Hadoop/Cloudera to cloud platforms an asset.

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 ...

Business Data Analyst

Oakville, ON · Hybrid

CA$53K - CA$88K/yr

Oracle, Databricks, IKC, Azure, GCP, Big Query, Hadoop, Hive, Python, R, Shell Scripting, SAS, basic Linux commands * Experience working with data in a corporate environment and supporting cross ...

Machine Learning Engineer

Toronto, ON · On-site

$80 - $120/hr

Strong programming skills in Python and Scala required. Experience in other programming languages ... Hadoop, Spark, Kafka) required. * Experience with building and deploying API's with Docker and ...

Strong programming skills in Python and Scala required. Experience in other programming languages ... Hadoop, Spark, Kafka) required. * Experience with building and deploying API's with Docker and ...

Spark, Hadoop, Kafka) * Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS) * Data Science and Machine ... Python, Scala, Java, or R. * [Desired] Built solutions with public cloud providers such as AWS ...

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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:
Senior Data & Reporting/Business Analyst - GFT

Senior Data & Reporting/Business Analyst - GFT

Royal Bank of Canada

Toronto, ON

Full-time

Re-posted 8 days ago


Job description

Job Description

What is the Opportunity?

The global functions technology group supports Finance and Risk Business partners by using our extraordinarily rich data set that spans multiple versions and geographies globally and captures detailed datasets. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Engineering and various groups at the Bank. To support our rapidly growing group we are looking for Senior Data Analyst/Engineer who are equally passionate about the opportunity to use rich data to tackle meaningful business problems. The candidate will apply extensive, in-depth knowledge, skills, and practices to perform complex assignments to bridge the gap between business and technology by delivering critical insights and analysis to shape strategy, evolve data connectivity, and provide insights into data transformation.

What will you do?

  • Utilize Hive/SQL/ Python to perform daily data analysis and advanced data mining and analytics on large transactional datasets

  • Work closely with Program sponsors, SMEs in various business areas, technology teams to finalize functional business requirements and support implementation activities

  • Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to completeness

  • Find opportunities to create and automate repeatable analyses or build self-service tools for business users

  • Research industry metrics and business context and bring this context to bear in analyses

  • Oversee processes such as data gathering, transformation, reporting, and advanced analytics to ensure the integrity and reliability of large datasets.

  • Drive the highest standards of quality, rigor, and thought leadership across the entire data lifecycle.

What do you need to Succeed?

Must have:

  • Solid understanding of Finance business processes such as Balance Sheet Reporting, Profit and Loss Reporting, Capital Reserve Reporting, Capital Markets products and processes, and Regulatory Reporting

  • Minimum of 5+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business requirements, consulting, or other data-driven functions

  • Demonstrated Experienced in quantitative, qualitative, analytical, problem solving, and critical thinking skills.

  • Exceptional storytelling skills, with a track record of translating complex data into compelling business insights. Ability to communicate findings derived from complex analytics to Senior Leadership, both verbally and visually.

  • Experienced in databases, data engineering, ETL, ELT concepts with utilizing querying, automation, and big data technologies (e.g. Python, SQL, Spark, Teradata, Hadoop, Snowflake, Databricks) to produce repeatable insights

  • Proficiency with creating compelling presentations

Nice-to-have:

  • Data Engineering / Data Science certification and/or completion of Business Analysis training courses.
  • Copilot , Git hub , Python knowledge

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 bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Opportunities to do challenging work.

#LI-POST

Job Skills

Analytics, Business Analytics, Business Case Design, Critical Thinking, Data Administration, Data Mining, Data Modeling, Data Movement, Detailed Design, Detail-Oriented, Detail Oriented Tasks, Group Problem Solving, Problem Solving, Quantitative Research, Research Documents

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST 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:

2026-05-07

Application Deadline:

2026-07-31

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