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Hadoop Python Jobs in Ontario (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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.

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 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:
Manager/ Sr. Manager - Analytics Consulting (Canada)

Manager/ Sr. Manager - Analytics Consulting (Canada)

Tiger Analytics Inc.

Toronto, ON

Full-time

Posted 20 hours ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and data analytics background.

Responsibilities:

  • Work on the latest applications of data science to solve business problems
  • Work directly with client stakeholders to translate business problems into high level analytics solution designs
  • Present analytical solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
  • Responsible for managing analytics projects, collaborating with client stakeholders and Tiger's team situated globally
  • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution

Requirements

  • 6-10 years of professional work experience with at least 5 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client's team to translate business problems to high level analytics solution approach
  • Solid understanding of statistical and machine learning algorithms
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.