Associate Staff Engineer (Power BI)

<p><strong>Requirements</strong></p><ul><li>Experience : 4+yrs</li><li>Relevant&#xa0;experience in data engineering, data integration, business intelligence, or application support.</li><li>Expert-level proficiency in Power BI, including dashboard development, DAX calculations, data modeling, refresh management, and troubleshooting.</li><li>Strong hands-on expertise in Snowflake, including SQL query optimization, views, and stored business logic.</li><li>Hands-on experience with SnapLogic and MuleSoft, including Mule 4 and DataWeave, with strong proficiency in at least one and working knowledge of the other.</li><li>Practical experience with Salesforce Data Cloud, including Data Lake Objects (DLOs), streaming and batch Data Transforms, and data integration.</li><li>Strong understanding of data ingestion, transformation, integration, and reporting workflows.</li><li>Ability to read, understand, and debug R scripts, with working knowledge of Python for data logic migration and validation.</li><li>Experience troubleshooting data pipeline failures, data quality issues, dashboard refresh errors, and integration problems.</li><li>Strong analytical, problem-solving, prioritization, and incident management skills.</li><li>Excellent ownership, documentation, and stakeholder communication skills.</li><li>Experience working in a multi-application support or shared-services environment is preferred.</li><li>Exposure to data pipeline observability, monitoring, alerting, and operational support practices is preferred.</li><li>Relevant certifications in Snowflake, MuleSoft, Salesforce Data Cloud, or Microsoft Power BI (PL-300) are desirable.</li></ul><p><strong>Responsibilities</strong></p><ul><li>Maintain and support the brokerage dashboard application, ensuring accurate and timely reporting to help brokers and market leaders improve pipeline accuracy and drive revenue growth.</li><li>Ensure the reliability of the client intelligence platform, enabling teams to leverage a unified client view for stronger engagement, growth strategies, and revenue opportunities.</li><li>Maintain, optimize, and troubleshoot Snowflake SQL queries, views, and stored business logic.</li><li>Monitor, support, and update SnapLogic pipelines responsible for ingesting data from source systems into Snowflake.</li><li>Maintain Power BI dashboards, update DAX calculations, and resolve data refresh, performance, and reporting issues.</li><li>Support R-based data integrity and validation scripts, and assist in migrating existing logic to Snowflake and Python.</li><li>Manage and troubleshoot Salesforce Data Cloud Data Lake Objects (DLOs), including streaming and batch Data Transforms.</li><li>Maintain and enhance Mule 4 flows and DataWeave transformations for objects not natively supported by Salesforce Data Cloud.</li><li>Provide cross-application support and operational coverage to minimize single points of failure.</li><li>Perform incident triage, troubleshoot data issues, and conduct root-cause analysis across ingestion, transformation, integration, and reporting layers.</li><li>Maintain accurate technical documentation, monitoring procedures, and support runbooks across both applications.</li><li>Collaborate with stakeholders to prioritize issues, resolve incidents, and ensure business-critical applications remain reliable and performant.</li></ul>