Demonstrated experience delivering multiple data solutions
Demonstrated experience with ETL development both on-premises and in the cloud
using SSIS, Data Factory, and related Microsoft and other ETL technologies.
Demonstrated in depth skills with SQL Server, Azure Synapse, Azure
Databricks, HDInsights, Azure Data Lake with the ability to configure and
administrate all aspects of SQL Server.
Demonstrated experience with different data models like normalised, denormalized,
stars, and snowflake models. Worked with transactional, temporal, time
series, and structured and unstructured data.
Data Quality Management (Microsoft DQS and other data quality and governance
tools) and Data Architecture standardization experience.
Deep understanding of the operational dependencies of applications, networks,
systems, security and policy (both on-premise and in the cloud; VMs, Networking,
VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).
Advanced study / knowledge in the field of computer science or software
engineering along with advanced knowledge of software development and
methodologies (Microsoft development lifecycle including OOP principles, Visual
Studio, SDKs, PowerShell, CLI).
Is familiar with the principles and practices involved in development and
maintenance of software solutions and architectures and in-service delivery
(Microsoft and Azure DevOps. Azure Automation).
Has strong technical background and remains evergreen with technology and