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Added 1 min ago
P
Senior DevOps Engineer
Pixieset
Vancouver, BC
- Full-time
We’re hiring a Senior DevOps Engineer to strengthen the shared platforms, infrastructure, and delivery workflows that our engineering teams rely on.
Added 16 mins ago
H
Building Operator
Hines
Toronto, ON
- Other
Review and complete daily entries into engineer’s log
Added 17 mins ago
OP
Junior Quality Engineer
Ontario Power Generation
Oshawa, ON
- Full-time
Ontario Power Generation (OPG) is looking for a dynamic, strategic and results-driven professional to join our team in the role of Junior Quality Engineer.
Added 17 mins ago
T
Application Release Engineer
TheCorporate
ON · Ontario, Canada
- Contract
Audit trail automation – ensure every change to the infrastructure is logged and traceable. Build systems that can prove to a regulator exactly who changed what, and when
Added 17 mins ago
T
Electrical & Instrumentation Engineer
Tenova
Mississauga, ON
- Full-time
The Electrical & Instrumentation (E&I) Engineer is responsible for the design, review, implementation, commissioning, troubleshooting, and continuous improvement of electrical,…
Added 17 mins ago
H
Analog Validation & Characterization Engineer
HaiLa
Ottawa, ON
- Full-time
This is an exciting opportunity for an Analog Validation & Characterization Engineer to join our dynamic and diverse team! This is a full-time, on-site role reporting to the VP of…
Added 17 mins ago
IT
Engineering Manager
Infinity Testing Solutions Inc.
Mississauga, ON
- $120,000 to $140,000 CAD / year
- Full-time
· Develop, maintain and troubleshoot LabVIEW applications for machine control, automation, data acquisition and analysis. Guide software architecture, documentation and maintainability.
Added 17 mins ago
G
Senior Databricks Data Platform Engineer
Galent
Montreal, QC
- Contract
Job Title: Senior Databricks Data Platform Engineer
Added 17 mins ago
AS
Senior Quality Assurance Automation Engineer
Ardent SoftSol Inc.
Toronto, ON
- $45 to $50 CAD / hour
- Contract
We are looking for a QA Automation Engineer with deep, hands-on expertise in Playwright to design, build, and maintain robust end-to-end (E2E) automation test suites. In this contract role,…
Added 17 mins ago
AS
Senior Data Engineer
AgileGrid Solutions
Canada
- Full-time
You will also contribute to stronger engineering practices by developing reusable frameworks and automation, improving delivery and deployment processes, and supporting the growth of…
Added 17 mins ago
UT
Sr Python Engineer #26-21269
US Tech Solutions
Toronto, ON
- $100 to $105 CAD / hour
- Contract
Client is seeking an Application Developer - Sr Python Engineer to support a project-based vendor integration initiative. The engineer will design and maintain secure, scalable Python…
Added 17 mins ago
T®
Full Stack .NET Developer (Software Developer III)
TekWissen ®
Vaughan, ON
- $65 to $70 CAD / hour
- Contract
Enhance and scale our automation platform to support diverse workloads, use cases, and engineering teams.
Added 17 mins ago
Y
Dynatrace Engineer
Yochana
Toronto, ON
- Full-time
We are looking for a Dynatrace Engineer to support monitoring implementation, application onboarding, log analytics, dashboard development, and operational activities.
Added 17 mins ago
KR
AI Security Research Engineer
KTek Resourcing
Toronto, ON
- Contract
Technical Security Research Engineer to research, prototype, evaluate, and operationalize emerging cybersecurity capabilities. This is a hands-on role for someone who can move from a…
Added 17 mins ago
T
Software Engineer
TechDoQuest
Toronto, ON
- Full-time
We are looking for a Dynatrace Engineer to support monitoring implementation, application onboarding, log analytics, dashboard development, and operational activities.
Added 17 mins ago
T
R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building,…
Added 17 mins ago
H
Technical Program Manager
HCLTech
Vancouver, BC
- $115,000 to $120,000 CAD / year
- Full-time
Partner with DevOps teams to improve CI/CD pipelines, deployment automation, monitoring, and scalability.
Added 32 mins ago
II
Lead Data Engineer
Ipsos in Canada
Vancouver, BC
- $130,000 to $140,000 CAD / year
- Full-time
…alerting, incident response, post-incident reviews, reliability automation, and operational…
Added 32 mins ago
IG
Mechanical Design Engineer
Insight Global
London, ON
- $45 to $65 CAD / hour
- Contract
Insight Global is looking for a Senior Mechanical Engineer to join an expanding team in a leading custom automation and capital equipment manufacturer. This individual will play a key…
Added 32 mins ago
TI
Voice/ Video IP Performance Test Engineer
Themesoft Inc.
Vancouver, BC
- Contract
Looking for test engineer with exp in functional & performance testing and automation of embedded devices. This role is part of SQA team responsible for leading the design, implementation,…
Added 32 mins ago
A
AI Platform Engineer – DevOps Experience : Halifax, Nova Scotia : FTE
AceStack
Halifax, NS
- Full-time
Job Title: AI Platform Engineer – DevOps Experience
Added 32 mins ago
KG
RPA Platform Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
The Senior Platform Engineer develops, maintains, and manages Automation platform on premise, AWS cloud and vendor SaaS to enable automation across the bank and core operations enabling the…
Added 32 mins ago
ES
Senior Databricks Data Platform Engineer
Enterprise Solutions Inc.
Montreal, QC
- Contract
As a Senior Databricks Data Platform Engineer you will own the engineering automation and day to day health of our enterprise Databricks Lakehouse platform This is a platform-first role…
Added 46 mins ago
Machine Learning Engineer
Scotiabank
Toronto, ON
Drive modernization initiatives including cloud adoption, automation, DevOps, CI/CD pipelines, and platform transformation.
Added 46 mins ago
Software Engineer
Scotiabank
Toronto, ON
Drive modernization initiatives including cloud adoption, automation, DevOps, CI/CD pipelines, and platform transformation.

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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