Lead Data Operations: Pipelines, Integrations & Automation

Smollan Technologies

Cape Town

On-site

ZAR 480,000 - 720,000

Full time

6 days ago
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Job summary

Smollan Technologies is seeking a Data Operations Specialist to own day-to-day high-volume data workflows, integrations, and processing pipelines. You will ensure accuracy, reliability, and scalability across data platforms while onboarding complex data sources and maintaining security standards.

The role emphasizes troubleshooting intricate data challenges, driving pipeline efficiencies, and collaborating with engineering teams to deliver deterministic data solutions.

Qualifications

  • Forward-thinking analyst with fluency in SQL, reporting tools and data warehousing concepts.
  • Excited about troubleshooting data challenges and improving operational data pipelines.
  • Able to bridge external data providers with internal engineering teams.

Responsibilities

  • Manage custom & special data setups and maintain relationships with data providers and clients.
  • Drive high-volume data processing using internal platforms to meet SLAs.
  • Resolve complex data processing and pipeline failures independently before escalations.
  • Collaborate with Client Success, Data Engineers, Data Integration and Data Visualization teams to translate requirements into scalable systems.
  • Optimize operations with workflow enhancements and continuous process improvements across the data lifecycle.
  • Mentor and lead junior analysts on data management standards and tools.

Skills

Analytical thinking
Problem solving

Tools

SQL
Reporting tools
Data warehousing concepts
Data pipelines

Job description

Smollan Technologies is seeking a Data Operations Specialist to own day-to-day high-volume data workflows, integrations, and processing pipelines. You will ensure accuracy, reliability, and scalability across data platforms while onboarding complex data sources and maintaining security standards.

The role emphasizes troubleshooting intricate data challenges, driving pipeline efficiencies, and collaborating with engineering teams to deliver deterministic data solutions.

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