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Big Data Analytics Jobs in British Columbia (NOW HIRING)

Alquemy

Senior Data Analyst

Vancouver, BC

$60 - $70/hr

... global product analytics. Behavioral Analysis: Deep-dive into complex datasets to analyze the ... Master's degree preferred in a highly quantitative field (e.g., Computer Science, Big Data ...

Microsoft Canada

Principal Software Engineer

Vancouver, BC

CA$142.40K - CA$257.50K/yr

Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data - structured, semi-structured, and ...

Microsoft Canada

Software Engineer II

Vancouver, BC

Overview Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real ...

Targeted Talent

Data Scientist

Vancouver, BC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Targeted Talent

Data Scientist

North Vancouver, BC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Targeted Talent

Data Scientist

North Vancouver, BC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Targeted Talent

Data Scientist

Vancouver, BC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Targeted Talent

Senior Data Scientist

Vancouver, BC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

Targeted Talent

Senior Data Scientist

Vancouver, BC · Remote

Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB) * Strong experience with big data ...

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See British Columbia salary details

$27.5K

$133.8K

$198K

How much do big data analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for big data analytics in British Columbia is $133,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $162,500.00 per year, depending on experience, location, and employer.

What is a Big Data Analytics job?

A Big Data Analytics job involves analyzing large and complex datasets to extract meaningful insights, trends, and patterns that help businesses make data-driven decisions. Professionals in this field use tools like Hadoop, Spark, SQL, and machine learning algorithms to process and interpret data. Responsibilities may include data mining, predictive modeling, and creating visualizations to communicate findings effectively. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology. Strong analytical skills, programming knowledge, and an understanding of data infrastructure are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Big Data Analytics position, and why are they important?

To excel in Big Data Analytics, professionals need strong analytical abilities, proficiency in data modeling, statistics, and a solid foundation in computer science or mathematics, often supported by a relevant degree. Experience with tools like Hadoop, Spark, SQL, and familiarity with programming languages such as Python or R—as well as certifications in big data technologies—are highly valued. Critical thinking, effective communication, and problem-solving skills help in translating complex data into actionable business insights. These capabilities are crucial for handling large datasets, deriving meaningful conclusions, and supporting organizational decision-making.

What are the typical daily responsibilities of a Big Data Analytics professional?

A Big Data Analytics professional typically spends their day collecting, cleaning, and organizing large datasets, designing and running data models, and interpreting trends to generate actionable insights for business stakeholders. They may collaborate closely with data engineers, data scientists, and business analysts to ensure data quality and relevance. Regular tasks also include creating data visualizations, preparing reports, and presenting findings to both technical and non-technical teams. Working in this field often involves keeping up-to-date with new technologies and methods to optimize and streamline analytics processes.
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Big Data Analytics jobs near you
Sr Java Big Data Architect - Mississauga - Canada

Sr Java Big Data Architect - Mississauga - Canada

Photon

Vancouver, BC

Full-time

Posted 26 days ago

Job description

Qualifications 

  • Minimum 15+ years of relevant experience in applications development 
  • Architect and design large-scale, distributed big data solutions using Java and big data technologies to handle high-volume data processing and analytics. 
  • Expertise in Bigdata ecosystem (Cloudera Distribution) using spark and Map Reduce 
  • Java (core) 1.8 or above - Hands-on experience (advanced concepts of data structures, memory management and design patterns) 
  • Apache Spark - Hands on (preferable on Java spark) 
  • Bigdata ecosystem (Good understanding of Hadoop, preferable cloudera distribution), exposure to Hive, Impala, Yarn, Kafka 
  • Good Data analysis and programing skills and understanding of large datasets (no sql joins) 
  • Good knowledge of Java and spark architecture and design principles 
  • Good experience in Junit/Testing frameworks 
  • Unix/Python shell scripting experience is a big plus 
  • Experience managing global technology teams 
  • Working knowledge of industry practices and standards 
  • Good communication skills 

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