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Added 7 mins ago
Electrical Engineer/Specialist (Power & Drives)
Spartan Controls Ltd.
Calgary, AB
We are currently recruiting for an Electrical Engineer/Specialist to join our Power & Drives Business Unit in our Calgary Solutions Centre. Providing technical project support, knowledge…
Added 7 mins ago
Lead ML Platform Engineer
RBC
Calgary, AB
Full-time
We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and…
Added 7 mins ago
DevOps Developer
RBC
Toronto, ON
Full-time
…streamlining the software delivery lifecycle? As a Senior DevOps Engineer, you will play a critical role in bridging the gap between development and operations, ensuring that our…
Added 21 mins ago
Snowflake Data Engineer
Rivago Infotech Inc
Toronto, ON
Contract
Cloud technologies (AWS data services, AWS Glue, AWS Lambda, Integration with Active directory, masking and encryption, Governance activities – Lineage, Catalog, classifications.…
Added 21 mins ago
Lead Data Engineer / Data Platform Lead
Apexon
Toronto, ON
Full-time
Understanding of REST API design, OpenAPI specifications, and API integration patterns in frontend applications.
Added 21 mins ago
Electrical Engineer
SBQuantum
Sherbrooke, QC
Full-time
As an Electrical Engineer, you will play a key role in developing the next generation of SBQuantum’s quantum diamond magnetometer for space applications and other harsh environments. You’ll…
Added 21 mins ago
Electrical Engineer/Specialist (Power & Drives)
Spartan Controls
Calgary, AB
Full-time
We are currently recruiting for an Electrical Engineer/Specialist to join our Power & Drives Business Unit in our Calgary Solutions Centre. Providing technical project support, knowledge…
Added 22 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Position: Software Quality Assurance (SQA) Engineer (Level 17) – Quality & Automation Focus
Added 22 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Position: Software Quality Assurance (SQA) Engineer (Level 17) – Quality & Automation Focus
Added 22 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Position: Software Quality Assurance (SQA) Engineer (Level 17) – Quality & Automation Focus
Added 22 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Position: Software Quality Assurance (SQA) Engineer (Level 17) – Quality & Automation Focus
Added 22 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Position: Software Quality Assurance (SQA) Engineer (Level 17) – Quality & Automation Focus
Added 22 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Remote, Canada
Full-time · Remote
Position: Software Quality Assurance (SQA) Engineer (Level 17) – Quality & Automation Focus
Added 22 mins ago
Senior Software Developer - Virtualization and SIL Integration
General Motors
Markham, ON
Full-time
…for the role of Virtualization and Software-in-the-Loop (SIL) Integration Engineer to support our Test Environment Agile Release Train (SIL…
Added 37 mins ago
Software Technical Leader
Cisco
Fredericton, NB · Yellowknife, NT · Toronto, ON · Mississauga, ON · Vancouver, BC · Halifax, NS · St. John's, NL · Montreal, QC · Ottawa, ON · Winnipeg, MB · Regina, SK · AB · Calgary, Alberta · Kanata, Ontario · Saint-Laurent, Quebec
Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 52 mins ago
Full-Stack Developer (Rust & WebAssembly)
SuperQubit Inc.
Markham, ON
$80,000 to $120,000 CAD / year
Full-time
You do not need to be a cryptography or QKD expert. Familiarity with these technologies is an asset, but the primary focus of this role is full-stack software development and integration.
Added 52 mins ago
Backend Software Engineer (Rust)
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are looking for a Backend Software Engineer with strong Rust expertise to build secure, scalable, and high-performance services for our Next-Gen Human Identity (NHI) Platform.
Added 52 mins ago
Full Stack Software Engineer, New Grad
Jobright.ai
Canada
Full-time
…to the best job outcomes. As a New Grad Full Stack Software Engineer, you will work across the product stack to build intuitive user experiences, scalable backend systems, and AI-powered…
Added 52 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Montreal, QC
$84,698 to $112,931 CAD / year
Full-time
Position: Software Quality Assurance (SQA) Engineer (Level 17) - Quality & Automation Focus
Added 52 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Ottawa, ON
$84,698 to $112,931 CAD / year
Full-time
Position: Software Quality Assurance (SQA) Engineer (Level 17) - Quality & Automation Focus
Added 52 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Laval, QC
$84,698 to $112,931 CAD / year
Full-time
Position: Software Quality Assurance (SQA) Engineer (Level 17) - Quality & Automation Focus
Added 52 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Toronto, ON
$84,698 to $112,931 CAD / year
Full-time
Position: Software Quality Assurance (SQA) Engineer (Level 17) - Quality & Automation Focus
Added 52 mins ago
Amazon Connect Engineer
K&K Global Talent Solutions INC.
Toronto, ON
Full-time
We are seeking an experienced Amazon Connect Engineer with 6+ years of expertise in designing, developing, and supporting cloud-based contact center solutions. The ideal candidate should…
Added 52 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Brossard, QC
$84,698 to $112,931 CAD / year
Full-time
Position: Software Quality Assurance (SQA) Engineer (Level 17) - Quality & Automation Focus
Added 52 mins ago
Software Quality Assurance (SQA) Engineer - EN 368
Export Development Canada | Exportation et développement Canada
Mississauga, ON
$84,698 to $112,931 CAD / year
Full-time
Position: Software Quality Assurance (SQA) Engineer (Level 17) - Quality & Automation Focus

HCLTech

Data Engineer

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Summary

Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.

•

Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.

•

Develop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.

•

Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns

•

Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.

•

Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Ideal Candidate Qualifications:

•

Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).

•

High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.

•

Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)

•

Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.

•

Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.

•

Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.

•

Experience developing Java based applications is an added advantage.

LONGDESCRIPTION section. 2 of 6.

Section Title: Key Responsibilities

Key Responsibilities

Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.

•

Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.

•

Develop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.

•

Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns

•

Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.

•

Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Ideal Candidate Qualifications:

•

Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).

•

High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.

•

Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)

•

Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.

•

Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.

•

Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.

•

Experience developing Java based applications is an added advantage.

LONGDESCRIPTION section. 3 of 6.

Section Title: Skill Requirements

Skill Requirements

Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.

•

Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.

•

Develop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.

•

Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns

•

Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.

•

Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Ideal Candidate Qualifications:

•

Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).

•

High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.

•

Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)

•

Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.

•

Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.

•

Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.

•

Experience developing Java based applications is an added advantage.

SKILL section. 4 of 6.

Section Title: Must Have Skills

Must Have Skills

Click Enter to show the proficiency description of Data EngineeringData Engineering
Click Enter to show the proficiency description of DatabricksDatabricks
Click Enter to show the proficiency description of Apache SparkApache Spark
Click Enter to show the proficiency description of PySparkPySpark
Click Enter to show the proficiency description of PythonPython
Click Enter to show the proficiency description of CI/CDCI/CD

SKILL section. 5 of 6.

Section Title: Good to have Skills

Good to have Skills

LONGDESCRIPTION section. 6 of 6.

Section Title: Other Requirements

Other Requirements

Work with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at large scale, pushing the boundaries of data processing and model enablement.

•

Build and maintain robust ETL/ELT pipelines for ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.

•

Develop high-performance data processing jobs using PySpark/Spark, Python on data platforms such as cloudera and databricks.

•

Optimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns

•

Contribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.

•

Partner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features

Ideal Candidate Qualifications:

•

Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).

•

High proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.

•

Hands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)

•

Experience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.

•

Working knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.

•

Strong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.

•

Experience developing Java based applications is an added advantage

Apply About employer

More about this job

Responsibilities

Build and maintain large-scale ETL/ELT pipelines and high-performance data processing jobs using platforms and tools such as Hadoop, Databricks, Spark, PySpark, and Python. Optimize pipeline performance and cost, contribute to CI/CD practices, and collaborate with Product Managers to scope and develop features.

Requirements

Requires hands-on experience building production-grade data pipelines on big data and cloud data platforms, with strong proficiency in Python, Spark, Hadoop tools, and SQL. Experience with orchestration tools and CI/CD practices is expected; strong problem-solving and communication skills are required, while Java application development is an advantage.

Skills

Data Engineering
Databricks
Apache Spark
PySpark
Python
CI/CD
Hadoop
SQL
ETL/ELT
Hive
Impala
Apache Airflow
Apache NiFi
Talend
Snowflake
Git

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Big Data
Databricks
Apache Spark
PySpark
Python
Hadoop
Cloudera
ETL/ELT
Data Pipelines
Data Ingestion
Data Transformation
Data Aggregation
SQL
Hive
Impala
Apache Airflow
Apache NiFi
Talend
Snowflake
CI/CD
DevOps
Git
Automated Testing
Release Pipelines
Observability
Pipeline Optimization
Java
Data Processing
Product Collaboration

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