Première détection par notre source: il y a 26 jours
RQ09197 - Software Developer - ETL - Senior
@ Rubicon Path
Toronto, Ontario
En bref
Rubicon Path is hiring a Senior Software Developer for ETL work on its Data Management team in a hybrid arrangement: three days a week onsite at 222 Jarvis St and up to two days remote. The role builds and maintains ETL pipelines and SQL code across Microsoft Azure and AWS platforms for cross-functional data initiatives.
Responsabilités :
- Build and maintain ETL pipelines in Azure Data Factory and AWS
- Write, tune and optimize SQL, stored procedures and ETL mappings
- Connect source systems including Oracle, Microsoft, Amazon Aurora, APIs and flat files
- Execute unit tests and verify data integrity and performance
- Create technical documents and data models
Résumé des exigences :
- Senior experience with Microsoft Azure data services and Power BI
- Senior experience with AWS data services such as Aurora, Glue and OpenSearch
- Experience with data modeling for data marts and warehouses
- Experience with complex SQL and performance tuning
- Strong communication skills
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-15
- Mise à jour du dossier source
- 2026-10-15
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Rubicon Path
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 578 |
Description
Hybrid Work Environment: The successful candidate is expected to work onsite at 222 Jarvis St 3 days per week, and may work remotely up to 2 days per week.
Responsibilities:
- Work as an integrated member of the Data Management team to support cross functional data initiatives with various business clients
- Interact with Business teams to better understand the technical functionality requirements and analyze data requirements and their impact to the existing systems
- Responsible in connecting various source and target systems (Oracle, Microsoft and Amazon Aurora, Amazon Relational Database Services, databases, APIs, flat files, etc.) and performing Extract, Transform, and Load (ETL) activities
- Work with team members to develop ETL within Azure Data Factory or Amazon Web Services (AWS) equivalent such as Glue, Kinesis Data Firehose, SageMaker, Data Wrangler, OpenSearch Service, etc. and SQL code to satisfy business requirements
- Create ETL Mappings and develop stored procedures, SQL queries and tune/optimize SQL code the ETL process and the target database for reporting
- Execute unit tests to ensure the accuracy of code changes, and to verify that data integrity and performance requirements are met
- Participate in meetings and scrums, works on incident and enhancement/maintenance tickets assignments and delivers excellent technical support
- Create and maintains technical documents, including data models
SkillsExperience and Skill Set Requirements
Responsibilities/Assignment Deliverables Senior ETL Developer
Designs, develops, and maintains database back-end and ETL applications for Data Warehouse and Business Intelligence solutions. Uses knowledge of ETL languages and development techniques to build and expand application functionality by writing high-quality code using appropriate patterns. Ensures applications remain scalable while complying to standards and following best practices. Tests and debugs applications and ensures that software is properly documented. Collaborates clearly and professionally as part of a development team and communicates with clients.
Mandatory Skills:
- Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
- Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc.
- Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores)
- Experience with developing, implementing, and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts
- Experience with data integration, data cleansing, and data analytics
- Experience with data modeling and design principles for data marts and data warehouses
- Experience in database management and administration
- Experience in constructing complex SQL queries and performance tuning
- Experience with Git and knowledge of source control strategies
- Experience creating technical documentation including ETL source-to-target mappings, data model diagrams, architecture artifacts, detailed design documents, etc.
- Experience in eliciting, documenting, and validating business requirements
- Experience in software development lifecycle from Development, to Testing and Quality Assurance, to Delivery
- Solid communications skills: the ability to understand, comprehend, and follow instructions and requirements to communicate clearly and effectively both verbally and in writing.
Nice to have skills:
- Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards
- Experience designing visual dashboards to highlight trends and Key Performance Indicators (KPIs), and developing canned reports (scheduled and ad-hoc)
- Experience with programming languages such as C#, developing application code such as APIs, Functions, etc.
- Experience writing scripts with PowerShell and other scripting languages
Software Developer - Senior - Evaluation Criteria
Description
%
Core Technical Skills
- Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
- Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc.
- Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores)
- Experience with developing, implementing, and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts
- Experience with data integration, data cleansing, and data analytics
- Experience with data modeling and design principles for data marts and data warehouses
- Experience in database management and administration
- Experience in constructing complex SQL queries and performance tuning
- Experience creating technical documentation including ETL source-to-target mappings, data model diagrams, architecture artifacts, detailed design documents, etc.
50%
Other Technical Skills
- Experience designing visual dashboards to highlight trends and Key Performance Indicators (KPIs), and developing canned reports (scheduled and ad-hoc)
- Experience with programming languages such as C#, developing application code such as APIs, Functions, etc.
- Experience writing scripts with PowerShell and other scripting languages
- Experience with Git and knowledge of source control strategies
- Experience in software development lifecycle from Development, to Testing and Quality Assurance, to Delivery
35%
Communications Skills
- Experience in eliciting, documenting, and validating business requirements
- Solid communications skills: the ability to understand, comprehend, and follow instructions and requirements to communicate clearly and effectively both verbally and in writing.
10%
Standards and Best Practices
- Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards
5%
MUST HAVES:
· Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
· Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc.
· Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores)
· Experience with developing, implementing, and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts
· Experience with data integration, data cleansing, and data analytics
· Experience with data modeling and design principles for data marts and data warehouses
Journal
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