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Added 2 mins ago
M
Project Manager
Metrolinx
Toronto, ON
- Full-time
Project Management Professional (PMP), Professional Engineer (P.Eng) or Licensed Architect (OAA) designations are considered an asset
Added 2 mins ago
TP
Intermediate Pipeline Engineer
Tridyne Projects Corporation
Calgary, AB
- Full-time
Tridyne Projects is looking for an Intermediate Pipeline Engineer to join our team in downtown Calgary.
Added 2 mins ago
H
QE Lead Automation Testing
Hays
Toronto, ON
- Contract
We are seeking a results-driven Senior Quality Engineer with extensive experience in mobile and digital banking platforms. The ideal candidate will play a pivotal role in building quality…
Added 2 mins ago
E
Full Stack Engineer
E-IT
Toronto, ON
- Contract
Added 2 mins ago
PI
Head of Marketing and Brand
Pack-Smart Inc.
Concord, ON
- $100,000 to $120,000 CAD / year
- Full-time
Apply now, and let’s engineer a better future together!
Added 2 mins ago
IS
AWS DevOps Engineer
Iris Software Inc.
Toronto, ON
- Contract
Iris's client, one of the Top 5 Bank in Canada is looking to hire an AWS Cloud DevOps Engineer for a long-term contract opportunity.
Added 2 mins ago
I
Process Engineer
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- $65,000 to $70,000 CAD / year
- Full-time
Added 3 mins ago
MH
HVDC Design Engineer (Electrical/Computer Engineer)
Manitoba Hydro
Winnipeg, MB
- Full-time
We are seeking a Senior HVDC Design Engineer to join the Station Design Department and help design, modernize, and support critical HVDC converter and transmission station infrastructure.…
Added 3 mins ago
MH
Resource Options Planning Engineer (Civil, Electrical or Mechanical Engineer)
Manitoba Hydro
Winnipeg, MB
- Temporary
We are seeking a Resource Options Planning Engineer to join our Energy Resource Planning Department. Under the direction of the Supply Options Planning Lead, will be responsible for…
Added 3 mins ago
BI
Azure DevOps Engineer Toronto, Canada (Hybrid)
BURGEON IT SERVICES
Toronto, ON · Greater Toronto Area, Canada
- Contract
We are looking for an experienced Azure DevOps Engineer with strong hands-on experience in Azure cloud, CI/CD automation, containerization, and infrastructure management.
Added 3 mins ago
C
Business System Analyst
CirrusLabs
Toronto, ON
- Contract
Added 3 mins ago
PT
Senior Software Engineer
PlugandPlay Talent
Vancouver, BC
- Full-time
Added 3 mins ago
RC
DevOps Engineer
RAPS Consulting Inc
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
We are seeking an experienced DevOps Engineer with strong expertise in AWS, Azure, DevSecOps, CI/CD, Jenkins, Terraform, GitHub, Site Reliability Engineering (SRE), and production support.
Added 17 mins ago
A
Graduate Graphic Designer
AtkinsRéalis
Montreal, QC
- Full-time
…committed to leading our clients across our various end markets to engineer a better future for our planet and its…
Added 17 mins ago
A
Intermediate Cost Analyst
AtkinsRéalis
Mississauga, ON
- Full-time
…committed to leading our clients across our various end markets to engineer a better future for our planet and its…
Added 17 mins ago
C
Low Latency Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
In this capacity, you will serve as the principal designer, systems architect, and hands-on lead engineer for mission-critical, low latency, and high-throughput risk platforms. These…
Added 17 mins ago
B
Aircraft Avionics Technician (CH147F)
Boeing
Calgary, AB · Vancouver, BC · Winnipeg, MB · Mississauga, ON · Ottawa, ON · Petawawa, ON · Toronto, ON · CAN - Petawawa, Canada
- Full-time
Must have one of the following: Transport Canada Civil Aviation (TCCA), Aircraft Maintenance Engineer (AME), Avionics Technician (AME-E) licensed or Military equivalent.
Added 32 mins ago
E
Intermediate Structural Designer/Engineer
EXP
Markham, ON
- Full-time
Be our next Intermediate Structural Engineer!
Added 32 mins ago
Field Service Engineer- Canada
Ametek, Inc.
Canada
The Field Service Engineer is responsible for the start-up, testing, preventative maintenance, troubleshooting, and repair of critical power equipment at customer sites. This position…
Added 32 mins ago
ES
Senior Data Engineer
Epsilon Solutions Ltd.
Mississauga, ON
- $65 to $70 CAD / hour
- Contract
We are seeking an experienced Senior Data Engineer with strong expertise in SQL, Data Warehousing, and Snowflake to join our Capital Markets technology team. The ideal candidate will play a…
Added 32 mins ago
L
Customer Engineer
Lantek
Quebec, QC
- Full-time
As part of the Operations team, this Customer Engineer role will be responsible providing technical support to customer-users based on their needs, related to our products and services…
Added 32 mins ago
SS
Machine Learning Engineer
Sapphire Stream Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
SST is seeking a Machine Learning Software Engineer – GPU & AI Optimization to join our growing engineering team in Markham, Ontario.
Added 32 mins ago
MH
Generation System Studies Engineer (Civil, Electrical or Mechanical Engineer)
Manitoba Hydro
Winnipeg, MB
- Full-time
We are seeking a Generation System Studies Engineer to join our Energy Resource Planning Department. Under the direction of the Generation System Studies Lead, perform integrated generation…
Added 32 mins ago
FI
Full Stack Engineer
Flexton Inc.
Toronto, ON
- Contract
We are looking for a skilled Software Engineer with strong experience in Java, Spring MVC, JavaScript, React.js and modern web application development. The ideal candidate should have a…
Added 32 mins ago
IG
Site Reliability Engineer
Insight Global
Toronto, ON
- $60 to $70 CAD / hour
- Contract
Insight Global is looking for a Site Reliability Engineer (SRE) to support the reliability, resiliency, and production operations of a large enterprise contact centre environment. This…

HCLTech

Data Engineer

Vancouver, BC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 2, 2026
Posting language: English
Posted: Nov 2, 2026

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 Hadoop, Spark, PySpark, Python, and platforms such as Databricks. Optimize pipeline performance and cost, contribute to CI/CD and engineering practices, and collaborate with Product Managers to scope and develop features.

Requirements

Requires strong hands-on experience building production-grade data pipelines on Hadoop and cloud data platforms, with proficiency in Python, Spark, SQL, and related tools. Candidates should have experience with Databricks or Snowflake, orchestration tools, CI/CD practices, and debugging complex data issues; Java application development is an advantage.

Skills

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

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
Deployment Automation
Observability
Pipeline Optimization
Partitioning
Java
Product Management

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