Assist in the build, development, and management of custom databases/solutions using SQL and SSIS both on premise and in Azure.
Clearly communicate technical terms to non-technical people and help them understand why change might be required to achieve a specific goal or to complete a project
Design, build and deploy ETL and data management processes. Develop and deploy ETL job workflow with reliable error/exception handling and rollback framework.
Build and oversee data architecture & pipelines platforms and systems, managing the flow of data from internal and external sources by leveraging both distributed and local structures.
Participate in developing, designing, configuring, and documenting database architecture.
Work collaboratively with Business Partner Team and Business Stakeholder during projects scoping and feasibility phases as a SME for concept investigation/viability and technical impact; Identify and communicate technical risks and mitigations.
Provide production support for data load jobs.
Write customized query to generate automatic periodic reports.
Build applications writing SQL scripts to manipulate data and / or writing specific instructions for an off-shore programmer to write the scripts.
Maintain or upgrade existing applications.
Attend key design meetings and provide support.
Other ad hoc duties.
Bachelor's degree in Computer Science, Engineering, Mathematics or other technical field is highly preferred.
Experience creating and managing SQL Server Integration Services (SSIS) Processes and writing TSQL (views/functions/stored procedures).
Experience with data modeling, and working with star schema
Ability to understand and communicate business requirements from non-technical stakeholders while simultaneously managing their expectations.
Experience with the full development life cycle of an application stack - from architecture through test and deployment.
Demonstrated knowledge and experience with Master Data management.
Demonstrated experience in data warehouse analysis and design, with full knowledge of data warehouse methodologies and data modelling.
Unit testing low level components
SQL scripts, Stored Procedures, ETL modules; Integration testing data transition points; Performance, load and stress testing.
Knowledge and experience in software development methodology and toolset for implementing, lifecycle and management
Agile methodology.
TFS/GIT code repository and branching strategies; Microsoft Release Management and any deployment tools; Jira knowledge.
Experience with Azure cloud solutions; Knowledge of Azure Data Factory, Azure Automation, Azure Data Lake and Azure Data Lake Analytics.
Experience with APIs.
Team player
Organized and detail oriented
Excellent communication, presentation, and writing skills
Thrives in a fast paced, constantly changing environment
.svg "Go To Top"){kind=icon}
