Software Developer ETL 10127

• Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities.
• Required to translate technical systems specifications into working, tested applications. This includes developing detailed programming specifications, writing and/or generating code, compiling data-driven programs, maintaining, and conducting unit tests.
• Resolves and troubleshoots technical problems which arise during the use and operation of software packages, including technical assistance in implementation, conversion and migrations.

• Experience in programming and analysis; specialized software package support at the specified experience level
• Ability to collaborate with IT Professionals throughout the Software Development Life Cycle
• Experience in structured methodologies for the development, design, implementation and maintenance of applications
• Experience in design, code, test, debug and document applications
• Experience in the use of object and/or third generation language development tools
• Experience in one or more programming languages
• Experience in application design, latest design patters, deployment and troubleshooting
• Experience with relational and hierarchical database technologies
• Experience in the use of information retrieval packages using query languages
• Experience with one or more communications protocols
• Experience in structured methodologies for the design, development, implementation and maintenance of applications
• Experience eliciting and documenting information from diverse business area stakeholders and subject matter experts
• Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
• A team player with a track record for meeting deadlines

• Knowledge and experience in gathering requirements and business process knowledge in order to transform the data in a way that's geared towards the needs of end users
• Knowledge and experience maintaining and improving already existing processes.
• Knowledge and experience ensuring that the data architecture is scalable and maintainable
• Knowledge and experience working with the business in designing and delivering correct, high quality data
• Experience investigating data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions
• Experience preparing detailed documentation for further reference

• Knowledge and experience with programming Internet-ready applications
• Knowledge and experience in rapid application development (RAD) methodologies
• Knowledge and understanding of Information Management principles, concepts, policies and practices
• Experience with middleware and gateways Experience reviewing, analyzing, and modifying product installation scripts including encoding, testing, debugging
• Ability to provide post-implementation support and resolve any post-implementation technical issues
• Experience conducting design walkthrough sessions with project team
• Knowledge and understanding of Accessibility for Ontarians with Disability Act (AODA) and related regulations and standards
• Ability to provide user and system documentation as required

• 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.

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

• 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

• 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.

• 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

• 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.

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

• Experience with Databricks Platform
• 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 with designing modern analytics architectures (e.g., data warehouses, data lakes, lakehouses).

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