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Added 16 mins ago
Full-Stack Developer (Rust & WebAssembly)
SuperQubit Inc.
Markham, ON
$80,000 to $120,000 CAD / year
Full-time
Work with DevOps and infrastructure components to deploy and operate applications.
Added 16 mins ago
Backend Software Engineer (Rust)
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
Full-time
…workflows, working closely with the Software Architect, Frontend Engineer, and Cloud & Deployment…
Added 16 mins ago
Performance Test Engineer
Tekgence Inc
Toronto, ON
Contract
We are looking for a Performance Test Engineer with hands-on experience in load and performance testing for web applications, REST APIs, and cloud-native microservices. The ideal candidate…
Added 16 mins ago
Identity and Access Management (IAM) Engineer
Mindlance
Toronto, ON
Contract
Job Title: Senior IAM Systems Engineer - Advanced
Added 31 mins ago
Senior Data Engineer, Analytics
CMLS Financial
Vancouver, BC
$90,000 to $110,000 CAD / year
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 31 mins ago
Senior Data Engineer, Analytics
Nesto Group(e)
Vancouver, BC
$90,000 to $110,000 CAD / year
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 46 mins ago
Senior Staff Engineer
Marvell Technology
Ottawa, ON · CA-ON - Ottawa
Full-time
We are seeking a highly skilled and proactive DevOps Engineer with specialized expertise in Jenkins and build automation. In this role, you will lead the design, implementation, and…
Added 1 hour ago
MLOps Developer
TEEMA
Toronto, ON
Full-time
5+ years experience as an DevOps/Infrastructure Engineer in a cloud development environment
Added 1 hour ago
DevOps Engineer
Verinite
Toronto, ON
Full-time
We are seeking an experienced DevOps / SRE Engineer to build, automate, and support high-availability AWS cloud infrastructure and CI/CD pipelines for critical payment and financial…
Added 1 hour ago
DevOps Automation Engineer (OpenShift / .NET / CI/CD)
Ateko, backed by Bell Canada
Mississauga, ON
Contract
We are seeking an experienced DevOps Automation Engineer to join a high-performing Agile Scrum team responsible for supporting a large portfolio of enterprise applications. The team is…
Added 1 hour ago
Senior Business Systems Analyst (BSA) – Infrastructure & Developer Platform
Flow Global Technology
Vancouver, BC
Contract
8+ years as a Business Systems Analyst, Technical Analyst, Platform Product Owner, or similar role, including at least 3 years supporting infrastructure, cloud, or DevOps teams.
Added 2 hours ago
Data Engineer
HCLTech
Vancouver, BC
Full-time
Strong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).
Added 9 hours ago
Full Stack Engineer with AI
Visionsoft Inc.
Montreal, QC
Contract
Strong CI/CD and DevOps experience covering automated builds, testing, code-quality and security checks, deployment, release controls, and production monitoring; familiarity with Docker,…
Added 11 hours ago
DevOps Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
CoreFactor is searching for a DevOps Engineer on a permanent/full-time basis.
Added 12 hours ago
DevOps Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
Full-time
CoreFactor is searching for a DevOps Engineer on a permanent/full-time basis.
Added 12 hours ago
Senior DevOps Engineer
Perceptic
Engineer, BC
Full-time
We're hiring a Senior DevOps Engineer to build and run that infrastructure with us. You'll take real ownership from day one across our own platform and the isolated customer environments…
Added 13 hours ago
Lead DevOps Engineer
Perceptic
Engineer, BC
Full-time
We need a Lead DevOps Engineer to own that infrastructure end to end. You'll be the single, clear owner of how Perceptic deploys, operates, secures, and scales, across our own platform and…
Added 16 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 18 hours ago
Senior Systems Engineer
Aviso
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
We're looking to fill an opening for a Senior Systems Engineer to join our Technology Ops & Support Partners team.
Added 18 hours ago
Senior Data Engineer, Temporary
Aviso
Toronto, ON
Temporary
Reporting to the Sr Director, Data Platform Delivery and Engineering, the Data Engineer is responsible for designing, building, and collaborating with Development, Security, and TSP Ops…
Added 1 day ago
Professional Services Consultant
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
The Professional Services Consultant delivers Microsoft cloud, infrastructure and platform projects for Synapse360 customers. The role is suited to an experienced Windows infrastructure…
Added 1 day ago
Senior Machine Learning Engineer
Skip
Edmonton, AB
Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 1 day ago
Member of Technical Staff 2- EIE
Nutanix Indonesia
Vancouver, BC
$103,000 to $155,000 CAD / year
Full-time
Are you an ambitious software engineer looking to solve complex distributed systems challenges and build enterprise-grade platform infrastructure? Join Nutanix as a Member of Technical…
Added 2 days ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
…real‑world outcomes. We do this through the delivery of secure cloud, AI, software and digital workplace solutions that enable agility, innovation and…
Added 2 days ago
Zscaler Site Reliability Engineer (SRE)
DXC Technology
Ottawa, ON
Full-time
Minimum 6 years of experience as a Site Reliability Engineer (SRE), DevOps Engineer, Cloud Engineer, Systems Engineer, or similar role.

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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