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Added 1 min ago
Mechanical Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
Full-time
As a Thermal Mechanical Engineer, you will design, develop, and validate liquid cooling solutions for high-performance electronics, including passive cold plates, coolant distribution…
Added 1 min ago
Technical Manager - Renewable Interconnection & Electrical Design
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Toronto, ON · Calgary, AB
Full-time
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Associate Director - Lead Application Support Specialist, GED Support
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Full-time
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…estate with consistent returns. The firm specializes in mortgage solutions through Cameron Stephens Mortgage Capital (CSMC) for developers across Canada. Established in 2021, Cameron…
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Global ERP Solutions

Senior Bigdata Developer

Mississauga, ON, Canada

Job type: Full-time
Apply by: Mar 28, 2027
Posting language: English
Posted: Sep 29, 2026

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Original job description

We are looking for an experienced Senior Big Data Engineer with strong expertise in Scala, Apache Spark, and Apache Kafka to design and build large-scale, high-performance data processing systems. The ideal candidate will have hands-on experience in real-time and batch data pipelines and a deep understanding of distributed computing.

Provide consulting services on new initiatives (small to large of varying complexity).
Explore new emerging technologies and how they best suit our applications
Develop, code, document, and execute unit tests, system, integration, and acceptance tests using different languages and testing tools for functions of high complexity.
Ensure adequate technical documentation and training.
Optimize spark jobs and java applications.
Architect, design, and implement solutions that meet the stakeholder’s needs
Participate actively in requirements gathering, data modeling, and design sessions
Prepare high-level and detailed technical specifications for the projects in accordance with PLC, security, and architecture documentation objectives
Develop detailed plans and accurate estimates for the completion of build, system testing, and implementation phases of a project
Develop, code, document, and execute unit tests, systems, integration and acceptance tests, and testing tools for functions of high complexity
Write, test, and maintain detailed programs according to specifications given by computer software engineers and systems analysts

Knowledge and Experience

Develop and maintain scalable data pipelines using PySpark and Spark SQL for processing large datasets efficiently.
Write clean, reusable, and optimized code in Python for data manipulation, analysis, and automation tasks.
Design and implement ETL workflows to extract, transform, and load data from various structured and unstructured sources.
Collaborate with data engineers, analysts, and stakeholders to understand data requirements and deliver solutions.
Optimize Spark jobs for performance tuning, resource utilization, and minimizing execution time.
Work with distributed computing frameworks to process and analyze big data in a cloud or on-premises environment.
Develop and maintain unit tests to ensure the accuracy and reliability of data pipelines and transformations.
Utilize Spark SQL for querying and managing large datasets stored in distributed systems like Hadoop or cloud storage.
Monitor and troubleshoot data pipeline issues, ensuring reliability and timely delivery of data.
Stay updated with the latest advancements in PySpark, Spark SQL, and big data technologies to improve existing systems.

What do you need to succeed?

Must Have

Experience in developing and optimizing Big Data applications using Scala and Spark on Cloudera/HDP.
Experience in building data pipelines
Experience in developing/designing micro-service architecture.
Working knowledge of Jenkins CI, Git, JIRA
Ability to seek improvements to all aspects of the development process

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More about this job

Responsibilities

Design, build, and optimize scalable batch and real-time data pipelines and distributed data-processing solutions using technologies such as Scala, Spark, Kafka, and Python. Gather requirements, develop and test complex software, prepare technical specifications and project estimates, and provide documentation, training, and technical consulting.

Requirements

Requires experience developing and optimizing Big Data applications with Scala and Spark on Cloudera or HDP, building data pipelines, and designing microservices architecture. Candidates should also have working knowledge of Jenkins CI, Git, and JIRA, and the ability to improve development processes.

Skills

Scala
Apache Spark
Apache Kafka
PySpark
Spark SQL
Python
Big Data
Data Pipelines
ETL
Distributed Computing
Microservices Architecture
Performance Optimization
Unit Testing
Jenkins CI
Git
JIRA

Visa sponsorship

Not detected in the job text

Keywords

Scala
Apache Spark
Apache Kafka
PySpark
Spark SQL
Python
Java
Cloudera
HDP
Big Data
Data Engineering
Data Pipelines
ETL
Batch Processing
Real-Time Processing
Distributed Computing
Microservices Architecture
Cloud Computing
Hadoop
Performance Tuning
Data Modeling
Unit Testing
Integration Testing
Acceptance Testing
Jenkins CI
Git
JIRA
Technical Documentation
Requirements Gathering
System Testing

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