1

Hadoop Python Jobs in Ontario (NOW HIRING)

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 ...

... Hadoop, Computer Programming, DevOps, GitHub, GitHub Copilot, Leadership, Python (Programming Language), Structured Query Language (SQL), Test Automation Additional Job Details Address: RBC WATERPARK ...

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 ...

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 ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

Hadoop Python information

What are the key skills and qualifications needed to thrive as a Hadoop Python developer?

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 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:
Infographic showing various Hadoop Python job openings in Ontario as of July 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Ab Initio Developer (Big Data & Hadoop)

United Airlines

Toronto, ON

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 340 frontline employees who took The Breakroom Quiz

8th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location : Toronto, CA (Onsite/Hybrid from Day 1)
Job Description

We are seeking a highly skilled Ab Initio Developer (Big Data & Hadoop) to join our Agile Scrum team and support the development of enterprise-scale Big Data and Data Lake solutions. This role will be responsible for designing, developing, and supporting data integration applications leveraging Ab Initio, Hadoop, and modern Big Data technologies. The ideal candidate will combine strong technical expertise with the ability to collaborate across business and technology teams to deliver high-quality data solutions.

Key Responsibilities
  • Participate in Agile/Scrum ceremonies, sprint planning, design discussions, and development activities.
  • Analyze business requirements and translate them into functional and technical specifications.
  • Design, develop, test, and support scalable data integration and ETL solutions using Ab Initio.
  • Build and maintain enterprise data pipelines supporting the organization's Data Lake and analytics platforms.
  • Ensure application quality, performance, scalability, and adherence to development standards.
  • Collaborate with architects, data engineers, business analysts, and stakeholders to deliver data-driven solutions.
  • Create project estimates and contribute to project planning and delivery discussions.
  • Participate in code reviews and promote development best practices.
  • Develop reusable and modular components to improve development efficiency and maintainability.
  • Troubleshoot production issues and perform performance tuning of ETL and Big Data applications.
  • Mentor junior developers and provide technical guidance to team members.
  • Support continuous improvement initiatives and adoption of emerging technologies.
Mandatory Skills
  • Bachelor's degree in Computer Science, Engineering, Statistics, Econometrics, Information Systems, or a related quantitative field.
  • 10+ years of overall IT experience with at least 5+ years of hands-on experience in Big Data and Data Integration solutions.
  • Expert knowledge of Ab Initio technologies, including Graphical Development Environment (GDE), Co-Operating System, Control Center, Metadata Hub, Enterprise Meta Environment (EME), EME Portal, Acquire>It, Express>It, Conduct>It, Data Quality Environment, and Query>It.
  • Strong experience in designing, developing, and supporting complex ETL and enterprise data integration solutions.
  • Hands-on experience with shell scripting, complex SQL development, Hadoop commands, and Git version control.
  • Strong programming skills in at least two of the following languages: Python, Java, and Scala.
  • Proven experience developing reusable, scalable, and maintainable code components.
  • Experience working with Hadoop ecosystem technologies such as Hive, Spark, Kafka, HBase, and Sqoop.
  • Strong understanding of Big Data architectures, Data Lake technologies, and large-scale data processing frameworks.
  • Experience in performance tuning, optimization, and troubleshooting of ETL and Big Data applications.
  • Familiarity with Hortonworks, ZooKeeper, Oozie, and NoSQL technologies is preferred.
Good to Have
  • Hands-on experience with Big Data technologies including:
  • Hadoop, Hive, Spark, Kafka, HBase and Sqoop etc
  • Experience working with Data Lake architectures and large-scale analytics platforms.
  • Knowledge of Hortonworks, ZooKeeper, Oozie, and NoSQL databases.
  • Experience with data modeling, data quality, and performance optimization.
  • Familiarity with cloud-based data platforms and modern data engineering practices.
  • Understanding of CI/CD processes and DevOps methodologies.

The base compensation range for this role in the posted location is: 88786- 95298

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media