Data Engineer / Data Analyst

As a Data Engineer / Data Analyst (Event Support) for a 6 to 12-month contract to support live event data operations, your role will involve ensuring the accuracy, reliability, and performance of data pipelines during active events. You will monitor real-time systems, resolve data issues, and collaborate with Product and Integration teams to deliver seamless event experiences. • *Core Responsibilities:** - Monitor and troubleshoot live data pipelines during events (registrations, scans, sessions, CRM syncs). - Diagnose and resolve data discrepancies, including missing leads, attribute mismatches, and sync delays. - Perform data validations, reconciliation queries, and implement real-time fixes. - Conduct root-cause analysis and recommend long-term improvements. - Work closely with Product and Integration teams during active event windows. - Document workflows, incidents, and resolution procedures. • *Required Skills & Qualifications:** - Robust experience in data processing, transformation, and debugging with Python. - Hands-on experience with AWS, including AWS Lambda and Step Functions. - Proficiency in event-driven architectures. - Advanced SQL skills for writing complex queries, debugging integrity issues, and performing reconciliations. - Strong understanding of ETL and data pipeline concepts. • *Preferred Qualifications:** - Experience with event platforms, CRM systems, or martech integrations. - Exposure to real-time or near real-time data processing. - Familiarity with monitoring and alerting tools. - Experience supporting mission-critical systems. As a Data Engineer / Data Analyst (Event Support) for a 6 to 12-month contract to support live event data operations, your role will involve ensuring the accuracy, reliability, and performance of data pipelines during active events. You will monitor real-time systems, resolve data issues, and collaborate with Product and Integration teams to deliver seamless event experiences. • *Core Responsibilities:** - Monitor and troubleshoot live data pipelines during events (registrations, scans, sessions, CRM syncs). - Diagnose and resolve data discrepancies, including missing leads, attribute mismatches, and sync delays. - Perform data validations, reconciliation queries, and implement real-time fixes. - Conduct root-cause analysis and recommend long-term improvements. - Work closely with Product and Integration teams during active event windows. - Document workflows, incidents, and resolution procedures. • *Required Skills & Qualifications:** - Robust experience in data processing, transformation, and debugging with Python. - Hands-on experience with AWS, including AWS Lambda and Step Functions. - Proficiency in event-driven architectures. - Advanced SQL skills for writing complex queries, debugging integrity issues, and performing reconciliations. - Strong understanding of ETL and data pipeline concepts. • *Preferred Qualifications:** - Experience with event platforms, CRM systems, or martech integrations. - Exposure to real-time or near real-time data processing. - Familiarity with monitoring and alerting tools. - Experience supporting mission-critical systems.