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Joblinxsapp

Report Developer - Junior

  • Toronto, ON, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

Position summary

The Government of Ontario is undertaking a large-scale Data and AI transformation initiative through the Ontario Data Platform (ODP).

The organization is seeking a Junior Report Developer / Data Engineer to develop, maintain, and optimize enterprise data solutions using Azure cloud technologies.

The successful candidate will build scalable data pipelines, develop ETL/ELT processes, support data integration, and enable analytics and reporting capabilities across government organizations.

Key responsibilities

Data Engineering and ETL Development

  • Design and maintain batch and near-real-time data pipelines.

  • Develop data ingestion frameworks.

  • Build and optimize ETL/ELT processes.

  • Implement data validation, monitoring, and reconciliation.

Databricks Development

  • Develop Databricks notebooks, workflows, and processing jobs.

  • Build Spark-based data transformation pipelines.

  • Implement Bronze, Silver, and Gold medallion architecture.

  • Manage Delta Lake tables and optimize performance.

  • Monitor and troubleshoot Databricks jobs.

Azure Data Storage and Integration

  • Develop data solutions using Azure Data Lake Storage (ADLS).

  • Implement data integration with source systems.

  • Apply partitioning, optimization, and archival strategies.

  • Support metadata management and data governance.

Software Development and Automation

  • Develop reusable scripts and automation frameworks.

  • Work with Azure DevOps, Git, and CI/CD pipelines.

  • Perform code reviews, testing, and deployment activities.

  • Maintain technical documentation.

  • Follow secure coding and software engineering standards.

Collaboration

  • Work with architects, data scientists, analysts, and business stakeholders.

  • Participate in Agile ceremonies and sprint planning.

  • Contribute to solution design and architecture reviews.

  • Provide technical guidance and knowledge sharing.

Required technical skills

Skill

Requirement

Azure Data Factory (ADF)

Data pipeline development

Azure Data Lake Storage (ADLS)

Cloud data storage

Databricks

Notebook and workflow development

Apache Spark / PySpark

Distributed data processing

Python

Scripting and development

SQL

Data querying and transformation

Delta Lake

Lakehouse and table management

ETL / ELT

Data integration and transformation

Azure DevOps

CI/CD and deployment

Git

Version control

REST APIs

Data integration

Data Governance

Security, privacy, access control

Additional requirements:

  • Degree or diploma in Computer Science, Software Engineering, IT, or related discipline.

  • Knowledge of Lakehouse architecture.

  • Experience with automated testing and deployment.

  • Understanding of data quality and data governance.

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More about this job

Responsibilities

Develop, maintain, and optimize scalable data pipelines and ETL/ELT processes using Azure, Databricks, Spark, and Delta Lake. Support data integration, quality, governance, automation, deployment, and analytics while collaborating with technical and business stakeholders.

Requirements

A degree or diploma in Computer Science, Software Engineering, IT, or a related discipline is required, along with knowledge of Lakehouse architecture. The role also calls for experience with automated testing and deployment and an understanding of data quality and governance.

Skills

  • Azure Data Factory
  • Azure Data Lake Storage
  • Databricks
  • Apache Spark
  • PySpark
  • Python
  • SQL
  • Delta Lake
  • ETL/ELT
  • Azure DevOps
  • Git
  • CI/CD
  • REST APIs
  • Data Governance
  • Data Quality
  • Data Pipeline Development

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Government & Public Sector

Keywords

  • Azure Data Factory
  • Azure Data Lake Storage
  • Databricks
  • Apache Spark
  • PySpark
  • Python
  • SQL
  • Delta Lake
  • ETL/ELT
  • Data Pipelines
  • Data Ingestion
  • Data Integration
  • Lakehouse Architecture
  • Medallion Architecture
  • Bronze, Silver, And Gold Layers
  • Azure DevOps
  • Git
  • CI/CD
  • REST APIs
  • Data Governance
  • Data Quality
  • Data Validation
  • Metadata Management
  • Automated Testing
  • Cloud Data Storage
  • Distributed Data Processing
  • Agile
  • Data Transformation
  • Data Security
  • Data Privacy

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