ERP Data & BI Lead — SQL Server + Power BI (Remote)

Pedidosya

Buenos Aires

Remote

ARS 131,359,000 - 169,994,000

Full time

4 days ago
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Benefits offered by this job

Professional growth
USD-based pay
Remote and office options

Job summary

AgileEngine is seeking a mid-level Database Administrator to manage high-availability production databases and coordinate with engineering teams. The role requires hands-on experience with Microsoft SQL Server, Aurora PostgreSQL, and Confluent Kafka, plus AWS RDS/Aurora and Terraform for IaC.

Strong English communication is essential. You will ensure disaster recovery readiness, secure access controls, and performance tuning while collaborating with engineers on system design and optimization in

Qualifications

  • Experience with Microsoft SQL Server and Aurora PostgreSQL (3–4 years).
  • AWS, RDS and Aurora experience required.
  • PowerShell or Python programming Skills.

Responsibilities

  • Maintain high availability of production databases and ensure performance.
  • Plan and execute disaster recovery with zero data loss.
  • Ensure database security including access controls and security protocols.
  • Analyze and tune database performance and diagnose issues.
  • Collaborate with engineers on design reviews and support.
  • Hands-on administration in a high-availability environment.
  • Handle high-pressure situations calmly.

Skills

SQL Server
Aurora PostgreSQL
AWS RDS
Confluent Kafka
PowerShell
Python
Kafka administration
Performance tuning
English (Upper-Intermediate)

Tools

Terraform

Job description

AgileEngine is seeking a mid-level Database Administrator to manage high-availability production databases and coordinate with engineering teams. The role requires hands-on experience with Microsoft SQL Server, Aurora PostgreSQL, and Confluent Kafka, plus AWS RDS/Aurora and Terraform for IaC.

Strong English communication is essential. You will ensure disaster recovery readiness, secure access controls, and performance tuning while collaborating with engineers on system design and optimization in

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