RQ09197 - Software Developer - ETL - Senior
About the job RQ09197 - Software Developer - ETL - Senior
Hybrid Work Setting: 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

Skills Experience and Skill Set Requirements
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.

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

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.

Standards and Best Practices

Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards

MUST HAVES

Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI

Experience with 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

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📌 Software Developer - ETL - Senior (Ontario)
🏢 Rubicon Path
📍 Ontario