Associate Staff Engineer (Power BI)

Requirements

- Experience : 4+yrs - Relevant experience in data engineering, data integration, business intelligence, or application support. - Expert-level proficiency in Power BI, including dashboard development, DAX calculations, data modeling, refresh management, and troubleshooting. - Strong hands-on expertise in Snowflake, including SQL query optimization, views, and stored business logic. - 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. - Practical experience with Salesforce Data Cloud, including Data Lake Objects (DLOs), streaming and batch Data Transforms, and data integration. - Strong understanding of data ingestion, transformation, integration, and reporting workflows. - Ability to read, understand, and debug R scripts, with working knowledge of Python for data logic migration and validation. - Experience troubleshooting data pipeline failures, data quality issues, dashboard refresh errors, and integration problems. - Strong analytical, problem-solving, prioritization, and incident management skills. - Excellent ownership, documentation, and stakeholder communication skills. - Experience working in a multi-application support or shared-services environment is preferred. - Exposure to data pipeline observability, monitoring, alerting, and operational support practices is preferred. - Relevant certifications in Snowflake, MuleSoft, Salesforce Data Cloud, or Microsoft Power BI (PL-300) are desirable.

Responsibilities

- 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. - Ensure the reliability of the client intelligence platform, enabling teams to leverage a unified client view for stronger engagement, growth strategies, and revenue opportunities. - Maintain, optimize, and troubleshoot Snowflake SQL queries, views, and stored business logic. - Monitor, support, and update SnapLogic pipelines responsible for ingesting data from source systems into Snowflake. - Maintain Power BI dashboards, update DAX calculations, and resolve data refresh, performance, and reporting issues. - Support R-based data integrity and validation scripts, and assist in migrating existing logic to Snowflake and Python. - Manage and troubleshoot Salesforce Data Cloud Data Lake Objects (DLOs), including streaming and batch Data Transforms. - Maintain and enhance Mule 4 flows and DataWeave transformations for objects not natively supported by Salesforce Data Cloud. - Provide cross-application support and operational coverage to minimize single points of failure. - Perform incident triage, troubleshoot data issues, and conduct root-cause analysis across ingestion, transformation, integration, and reporting layers. - Maintain accurate technical documentation, monitoring procedures, and support runbooks across both applications. - Collaborate with stakeholders to prioritize issues, resolve incidents, and ensure business-critical applications remain reliable and performant.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.