Full Stack Developer (.NET and SQL) - 5361
Apply NowCompany: Annex Consulting Group
Location: Toronto, ON M4E 3Y1
Description:
Full Stack Developer (.NET and SQL) - 5361
Duration: 12 months (possibility of extension)
Location: Toronto or Waterloo - Hybrid (3 days a week in office preferably Tue-Wed-Thu)
Must Have Skills:
5+ years' experience in data-driven organizations with a focus on end-to-end large-scale initiatives.
4+ years hands-on experience building web applications for data warehouses and pipelines using cloud-native technologies. Deep technical understanding of Data and Analytics paradigms and technologies - Cloud (GCP, AWS, Azure), Databases/Warehouses (SQL Server, Snowflake), etc.
Strong programming skills in SQL and C# (Blazor .NET Core). Knowledge of Python Streamlit for frontend applications is a plus.
Proficient in designing and implementing scalable data pipelines, data lakes, and data warehouses.
In-depth knowledge of cloud native technologies, including AWS services like S3, EC2, EKS, Glue, Sage maker, Athena and Redshift.
Bachelor's or master's degree in computer science or related technical field.
Understanding around building API solutions and microservices.
Proficiency in web development technologies such as HTML and CSS.
Demonstrated ability to communicate, negotiate, influence, and arbitrate competing priorities within a diverse set of user communities and stakeholders (internal and external).
Strong decision making, outcome driven, influencing, leading change and communication skills.
Responsibilities:
Engineering: Implement technology solutions around data, cloud, and software engineers. Work closely with Technical Lead from the team to drive technical strategy, ensuring alignment with vision and goals.
Data Marketplace: Evaluate and implement necessary system integrations to drive client's vision around data-as-product and data discovery for business users.
Platform Engineering: Work closely with DBTS teams to identify and implement right tools and technologies for current and future needs of the client.
Inner sourcing: Partnering with the Enterprise teams, drive the needs of client by creating a collaborative development approach.
Partner with technical program managers to create backlog of work for team and report on critical initiatives.
DevOps: Develop effective DevOps practice to improve developer experience and faster time-to-market.
Duration: 12 months (possibility of extension)
Location: Toronto or Waterloo - Hybrid (3 days a week in office preferably Tue-Wed-Thu)
Must Have Skills:
5+ years' experience in data-driven organizations with a focus on end-to-end large-scale initiatives.
4+ years hands-on experience building web applications for data warehouses and pipelines using cloud-native technologies. Deep technical understanding of Data and Analytics paradigms and technologies - Cloud (GCP, AWS, Azure), Databases/Warehouses (SQL Server, Snowflake), etc.
Strong programming skills in SQL and C# (Blazor .NET Core). Knowledge of Python Streamlit for frontend applications is a plus.
Proficient in designing and implementing scalable data pipelines, data lakes, and data warehouses.
In-depth knowledge of cloud native technologies, including AWS services like S3, EC2, EKS, Glue, Sage maker, Athena and Redshift.
Bachelor's or master's degree in computer science or related technical field.
Understanding around building API solutions and microservices.
Proficiency in web development technologies such as HTML and CSS.
Demonstrated ability to communicate, negotiate, influence, and arbitrate competing priorities within a diverse set of user communities and stakeholders (internal and external).
Strong decision making, outcome driven, influencing, leading change and communication skills.
Responsibilities:
Engineering: Implement technology solutions around data, cloud, and software engineers. Work closely with Technical Lead from the team to drive technical strategy, ensuring alignment with vision and goals.
Data Marketplace: Evaluate and implement necessary system integrations to drive client's vision around data-as-product and data discovery for business users.
Platform Engineering: Work closely with DBTS teams to identify and implement right tools and technologies for current and future needs of the client.
Inner sourcing: Partnering with the Enterprise teams, drive the needs of client by creating a collaborative development approach.
Partner with technical program managers to create backlog of work for team and report on critical initiatives.
DevOps: Develop effective DevOps practice to improve developer experience and faster time-to-market.