Senior Data Integration Engineer

Our team is looking to bring on board a highly capable Senior Data Integration Engineer. This position plays a crucial part in making sure data moves dependably between systems so that sound business decisions can be made. You'll operate in a team-based atmosphere where technical guidance and practical troubleshooting work together closely. This represents a valuable chance for someone eager to leave a real mark on how data shapes the organization's achievements Responsibilities Direct the architecture and continuous refinement of data integration solutions that keep pace with shifting business needs Provide mentorship and guidance to team members, promoting sound practices and dependable quality throughout data engineering efforts Work in close partnership with business stakeholders to convert their requirements into practical, effective technical approaches Monitor the reliability and stability of data pipelines, catching and addressing problems before they affect processes further downstream Play a role in planning and prioritization work, helping keep technical delivery in sync with wider project schedules and objectives Requirements At least 3 years of applicable background working on Data Warehouse initiatives Background designing, constructing, and sustaining data pipelines through Azure Data Factory Experience delivering and integrating business intelligence solutions by way of Power BI Demonstrated skill in refining pipeline and transformation code on an ongoing basis to boost performance, scalability, and maintainability Capacity to grasp business requirements tied to data initiatives and convert them into workable technical solutions Background using front-end tools such as Power BI, Azure Analysis Services (AAS), and Tabular Models Working knowledge of management tools and approaches, including JIRA, Agile methodology, and ServiceNow Practical experience with ETL tools, specifically Azure Data Factory and Azure Synapse Strong command of query languages, including MS SQL Server and Oracle PL/SQL Fluent English communication skills at a B2 level or higher Nice to have Background working with Azure Synapse Analytics to support data warehousing and analytics needs Exposure to Salesforce Informatica, Snowflake, and dbt for handling data integration and transformation tasks