Data and AI OPs Engineer

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Job Title : Data & AI Ops Engineer

Employment Type : Full time - Contractual (renewable)

Experience Level : Mid to Senior Level (6+ years experience)

About the Role : We are looking for a Data & AI Ops Engineer to design, develop, and optimize scalable data pipelines and integration workflows powering analytics, reporting, and AI-driven initiatives. This role bridges data engineering, AI operations, and systems integration, ensuring that data flows seamlessly across platforms to support real-time business intelligence and decision‑making.

You’ll work closely with application developers, business analysts, and data scientists to build reliable, high‑performance data solutions aligned with enterprise goals.

Key Responsibilities :

• Design, develop, and maintain data pipelines supporting analytics, reporting, and operational systems.
• Ensure data quality, consistency, and reliability through validation and transformation processes.
• Collaborate with cross‑functional teams to define data requirements and deliver integrated solutions.
• Optimize data storage and retrieval performance across databases, data lakes, and cloud platforms.
• Deploy and enhance data models, APIs, and ETL / ELT frameworks, aligned with architectural standards.
• Monitor and resolve data‑related incidents and service requests as per SLAs.
• Document data flows, schemas, and integration logic for compliance and knowledge sharing.
• Stay current with emerging data and AI technologies to improve efficiency and solution effectiveness.

Qualifications :

Bachelor’s in Computer Science, Data Analytics, or related field, with 6+ years of relevant experience OR Diploma in a relevant field, with 8+ years of practical experience in data engineering and integration

Minimum 3–4 years in enterprise‑grade data pipeline design and maintenance.

Required Skills & Experience :

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