• Keep the brokerage dashboard application accurate and
timely, so brokers and market leaders can rely on it to improve pipeline
accuracy and drive revenue growth.
• Keep the client intelligence platform reliable, so
teams can use the unified client view to strengthen engagement, growth
strategies, and revenue opportunities.
• Maintain, optimize, and debug Snowflake SQL queries,
views, and stored business logic.
• Support, monitor, and update SnapLogic pipelines that
move data from source systems into Snowflake.
• Maintain Power BI dashboards, update DAX calculations,
and resolve refresh and reporting issues.
• Support R-based data integrity and validation scripts,
and help migrate that logic to Snowflake and Python.
• Manage and troubleshoot Salesforce Data Cloud Data Lake
Objects (DLOs) and streaming and batch Data Transforms.
• Maintain and update Mule 4 flows and DataWeave
transformations for objects not natively supported in Data Cloud.
• Provide coverage across both applications, reducing
single points of failure.
• Perform incident triage and root-cause analysis
spanning ingestion, transformation, and reporting layers.
• Keep documentation, monitoring, and support runbooks
consistent across both applications.
• 5+ years in data engineering, integration, or BI
support.
• Strong SQL and Snowflake expertise.
• Hands-on experience with at least one of SnapLogic or
MuleSoft (Mule 4 and DataWeave), and working proficiency in the other.
• Working knowledge of Power BI and DAX.
• Working experience with Salesforce Data Cloud.
• Ability to read and debug R, with Python for migration
work.
• Strong ownership, prioritization, and stakeholder
communication skills.
• Experience in a multi-application support or
shared-services model.
• Relevant certifications (Snowflake, MuleSoft,
Salesforce Data Cloud, Microsoft PL-300).
• Exposure to observability and alerting practices for
data pipelines.
Skills Required
- 5+ years of experience in data engineering, integration, or BI support
- Strong SQL and Snowflake expertise
- Hands-on experience with SnapLogic or MuleSoft Mule 4 and DataWeave, with working proficiency in the other
- Working knowledge of Power BI and DAX
- Working experience with Salesforce Data Cloud
- Ability to read and debug R, with Python experience for migration work
- Strong ownership, prioritization, and stakeholder communication skills
- Experience in a multi-application support or shared-services model
- Relevant Snowflake, MuleSoft, Salesforce Data Cloud, or Microsoft PL-300 certifications
- Exposure to observability and alerting practices for data pipelines
What We Do
AlgoLeap specializes in AI-powered software solutions, digital product engineering, and IT consulting services, focusing on digital transformation and AI-driven innovation.
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