Data Engineer

• Design, develop, and maintain enterprise data warehouse solutions using Azure Synapse Analytics and SQL Server.
• Develop ETL/ELT pipelines using SQL Server Integration Services (SSIS), SQL Stored Procedures and Azure Data Factory to extract, transform, and load data from diverse sources.
• Design and implement data models (star/snowflake schemas, fact/dimension tables) optimized for analytics and reporting.
• Leverage Azure Databricks for data transformation, cleansing, and advanced data engineering workloads.
• Optimize performance of queries, ETL jobs, and data models to ensure efficiency and scalability.
• Ensure data quality, governance, and security by applying best practices in data validation, auditing, and lineage tracking.
• Collaborate with business analysts and stakeholders to translate business requirements into technical specifications.
• Automate workflows and deployment processes using CI/CD pipelines, Azure DevOps, and scripting.
• Develop and maintain reports and dashboards using SQL Server Reporting Services (SSRS) and Tableau.
• Stay current with Azure data services, tools, and best practices to continuously enhance the data platform.

Senior Data Warehouse Developer

Data Architect

Data Engineer

Senior Principal Data Architecture – Corporate Functions

Data Engineer

Data Operations Engineer