Data Engineer/Analyst (Event Support)

Impelsys • Colombia
Remote
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AI Summary

We are seeking a Data Engineer/Analyst to support live event data operations. The role involves monitoring real-time systems, resolving data issues, and collaborating with Product and Integration teams. Strong experience in data processing, transformation, and debugging is required.

Key Highlights
Monitor and troubleshoot live data pipelines
Diagnose and resolve data discrepancies
Collaborate with Product and Integration teams
Key Responsibilities
Monitor and troubleshoot live data pipelines during events
Diagnose and resolve data discrepancies
Collaborate with Product and Integration teams
Technical Skills Required
Python AWS AWS Lambda Step Functions Event-driven architectures SQL
Benefits & Perks
Remote work
Contract duration: 6-12 months
Nice to Have
Experience with event platforms, CRM systems, or martech integrations
Exposure to real-time or near real-time data processing

Job Description


We are seeking a Data Engineer / Data Analyst (Event Support) for a 6 to 12-month contract to support our live event data operations. This is a fully remote role based in Colombia, ideal for professionals who thrive in fast-paced, real-time data environments.


Contract & Location

  • Contract Duration: 6–12 months
  • Location: Remote (Colombia-based candidates only)
  • Engagement Type: Contract / Independent Contractor


Role Overview

As a Data Engineer / Data Analyst (Event Support), you will ensure the accuracy, reliability, and performance of data pipelines during active events. You will be responsible for monitoring real-time systems, resolving data issues, and collaborating 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

  • Python – Strong experience in data processing, transformation, and debugging.
  • AWS (Hands-on Experience)
  • AWS Lambda
  • Step Functions
  • Event-driven architectures
  • SQL (Advanced) – Ability to write complex queries, debug integrity issues, and perform 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.


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