Senior ETL Developer

About the role

Responsibilities/Assignment Deliverables – Senior ETL Developer

Mandatory Skills:

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.

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

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.

MUST HAVES:

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 with designing modern analytics architectures (e.g., data warehouses, data lakes, lakehouses).