Associate Staff Engineer (Power BI)

Requirements

• Experience : 4yrs
• 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.

Qualifications :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

No

Employment Type :

Full-time