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Added 1 min 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 16 mins ago
AI/ML Engineer
Spait Infotech
Canada
Full-time
Added 16 mins ago
Senior Software Engineer – Agent Systems
Kraken
Canada
Full-time
Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.)
Added 16 mins ago
DevOps Engineer
GyanSys Inc.
Canada
Contract
GyanSys is looking for a DevOps Engineer for its direct client.
Added 31 mins ago
Senior Data Engineer, Analytics
CMLS Financial
Vancouver, BC
$90,000 to $110,000 CAD / year
…origination and underwriting to servicing, securitization, mortgage analytics, and market intelligence. Backed by decades of experience and a reputation for innovation, we help clients…
Added 31 mins ago
Senior Data Engineer, Analytics
Nesto Group(e)
Vancouver, BC
$90,000 to $110,000 CAD / year
…origination and underwriting to servicing, securitization, mortgage analytics, and market intelligence. Backed by decades of experience and a reputation for innovation, we help clients…
Added 46 mins ago
AI Engineer - Halifax
Inadev
Halifax, NS
Contract
Added 46 mins ago
Data Engineer
NexZenTek Solutions Inc
Montreal, QC
Contract
Added 46 mins ago
AI Engineer -Toronto
Inadev
Toronto, ON
Contract
Added 46 mins ago
AI Engineer
RiskPod
Toronto, ON
$250,000 to $300,000 CAD / year
Full-time
Added 46 mins ago
Senior Platform Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Senior Platform Engineer, you will build and operate the shared platform that application teams use to deploy and run services on Azure Kubernetes Service. You will work with…
Added 1 hour ago
Software Engineer, Driver Earnings
Lyft
Toronto, ON
…technologies that enrich the lives of our community. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to…
Added 1 hour ago
Senior Cloud Infrastructure Engineer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
…builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design, scale, and harden Mecka's AWS environment, with a focus on the networking and storage behind global data…
Added 1 hour ago
Senior Software Engineer, AI Training - Canada
G2i Inc.
Remote, Canada
Contract · Remote
We're looking for highly experienced software engineer (SR+) to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code.
Added 1 hour ago
MongoDB Data Modeler
Confiar Services
Toronto, ON
Contract
We are seeking an experienced MongoDB Data Modeler / Data Engineer with strong expertise in MongoDB, JSON schema design, PySpark, SQL, and Azure Data Platforms to support enterprise data…
Added 1 hour ago
Senior Azure Databricks Consultant
BURGEON IT SERVICES
Burnaby, BC
Contract
We’re seeking an intermediate-level Azure Databricks Engineer to build and optimize scalable data pipelines, manage Delta Lake-based data products, and support analytics/ML workloads.…
Added 1 hour ago
Process Engineer
Richardson Wealth Ltd
Toronto, ON
The Process Engineer is responsible for driving the enhancement of business processes at Richardson Wealth to increase efficiency, productivity, quality, and the overall advisor and client…
Added 1 hour ago
Staff Optical Firmware Integration Engineer
Nokia
Canada
Full-time
Added 1 hour ago
Data Engineer
Iris Software Inc.
Toronto, ON
Contract
Iris’s leading financial client is looking for Data Engineer to join their team at Toronto, ON(Hybrid) location.
Added 1 hour ago
Senior Business Systems Analyst (BSA) – Infrastructure & Developer Platform
Flow Global Technology
Vancouver, BC
Contract
…certifications (e.g., AWS/Azure Solutions Architect or DevOps Engineer, CBAP, CKAD, Security+) are an…
Added 2 hours ago
Senior Software Engineer, AI Training - Canada
G2i Inc.
Remote, Canada
Contract · Remote
We're looking for highly experienced software engineer (SR+) to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code.
Added 2 hours ago
Data Engineer
HCLTech
Vancouver, BC
Full-time
Added 4 hours ago
Regional Sourcing Manager (Electronics Lane)
Husky Technologies
Bolton, ON
Full-time
Support supplier quality engineer and suppliers with supplier audit process and part qualifications
Added 4 hours ago
ERP Business Analyst
Husky Technologies
Bolton, ON
Full-time
Advanced business process knowledge in one or more of the following areas: Finance, Discrete Manufacturing, Engineer-to-Order (ETO) Manufacturing, Supply Chain, Warehouse Management, and…
Added 4 hours ago
Applications Engineer
Husky Technologies
Bolton, ON
Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.

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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