1

Hadoop Python Jobs in Ontario (NOW HIRING)

You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark ... You have some basic software development experience in Java, Scala or Python * You may have ...

Proficiency in programming languages such as Python, R, or Scala, along with experience using data ... Familiarity with big data technologies and platforms (e.g., Hadoop, Spark) is a plus, as well as ...

High proficiency using Python for data and AI engineering, experience building end to end ML ... Experience using AWS Sagemaker, S3, Snowflake, Databrick, Airflow, Hadoop, PySpark * Familiar with ...

Experience in relational databases (SQL) and Programming (Python). * Experience with Big Data technologies (Hadoop, Spark, Trino). * Experience with Data Modeling, Data quality, Data governance ...

Senior Data Engineer

Toronto, ON ยท Hybrid

CA$120K - CA$145K/yr

Strong programming skills in SQL, Python, or related languages. * Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical, troubleshooting, and problem ...

Experience with programming and/or scripting languages (Python, Ruby, Bash, Go, Java, PowerShell) * Experience with container technologies Docker, Kubernetes required * Experience with Hadoop ...

... Python (Preferred), Java, etc. * Exposure to Modern DB like Snowflake , MongoDB,etc * Experience with Hadoop testing * Knowledge of industry practices with focus on Agile, DevOps, environments and ...

Proficiency in SQL and a computing language such as Python or R * Experience in working with cross ... Experience with distributed tools such as Spark, Hadoop, etc. * A PhD or MS in a quantitative field ...

Strong experience with Python, SQL, and Scala for data processing. Hands-on experience with ETL ... Expertise in Big Data Technologies (e.g., Spark, Hadoop). Knowledge of Cloud Platforms (AWS, GCP ...

Strong experience with Python, SQL, and Scala for data processing. Hands-on experience with ETL ... Expertise in Big Data Technologies (e.g., Spark, Hadoop). Knowledge of Cloud Platforms (AWS, GCP ...

Data Engineer

Toronto, ON ยท Hybrid

CA$90K - CA$125K/yr

Strong programming skills in SQL, Python, or related languages. * Experience with big data technologies and concepts (Spark, Hadoop, Kafka). * Excellent analytical, troubleshooting, and problem ...

DataStage, Python, Scripting Language, Java, Nifi, Groovy, Elastic Search, DBT, BigQuery, terraform, Composer, GCP Utility, Linux, Hadoop Spark, Hive, SQL/HQL, Tidal * Experience in managing and ...

DataStage, Python, Scripting Language, Java, Nifi, Groovy, Elastic Search, DBT, BigQuery, terraform, Composer, GCP Utility, Linux, Hadoop Spark, Hive, SQL/HQL, Tidal * Experience in managing and ...

next page

Showing results 1-20

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:
Solutions Engineer - Toronto

Solutions Engineer - Toronto

Cloudera

Toronto, ON โ€ข On-site

Full-time

PTO

Posted 11 days ago


Job description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurring trends and patterns over time, and staying competitive by implementing predictive actions for their business that will yield positive outcomes.

Cloudera's CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers.

As a Cloudera Solutions Engineer, you will help customers be successful in deploying the CDP platform. You will utilize your strong technical skills, business competencies and customer service orientation, provide the highest level of solution design, and deliver technical value to sales teams, prospects and customers, to support sales goals.

As the Solutions Engineer you will:

  • Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels - developers, architects, CTO, and CIO

  • Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera's Vision with customers

  • Advise customers on use case patterns through discovery and requirements workshops

  • Transform customer feedback into actionable product roadmap items

  • Work with teammates and management to define technical selling strategy

  • Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories

We're excited about you if you have: (Minimum Qualifications):

  • 5+ years of professional work experience in a similar position, selling solutions to business leaders and technical champions in the enterprise.

  • You have strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude).

  • You have demonstrated problem solving and analytical skills.

  • You have experience in Solution Architecture/Engineering as a field of practice (an ability to listen to customer requirements, whiteboard and propose solution architectures, and be hands-on with the tech) to design, build, and demonstrate real business value

  • You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for both data management and data access

  • You have experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) You have an interest in achieving your public cloud certification.

  • You have experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift. You may have some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking).

  • You have some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration

  • You have some knowledge of differentiators across the competitive landscape

  • You have some basic software development experience in Java, Scala or Python

  • You may have experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications

  • You have an interest in Data Science and understand the difference between Data Engineering and Applied Science

  • You care about your colleagues, and you will get the job done together. You are passionate about what you do and inspire people around you

  • Bachelor's Degree or equivalent experience in a Technical Field

You may also have: (Preferred Qualifications):

  • You understand the challenges in operations and integration of enterprise platforms for Security and Data Governance in the enterprise

  • Experience with, and interest in, open-source software and development practices

  • NoSQL or Operational-DB experience (HBase, Phoenix, Accumlo, Druid, Cassandra, MongoDB, etc.) Maybe you can even debate one option over another?

  • EDW experience - Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience - (R, Python, Anaconda, Jupyter, Deep Learning Frameworks etc.)

  • Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, Tibco, MuleSoft, IBM, Oracle, Spring Integration, etc.)

This role is not eligible for immigration sponsorship.

The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits.

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-Remote

#LI-MH2