Senior Data Strategist

4 days ago


Karachi, Sindh, Pakistan Al Nafi International College Full time
Job Description

We are seeking an experienced Senior Big Data Specialist/Analyst to join our innovative team at Al Nafi International College. This role is crucial for managing complex data pipelines, integrating data from multiple microservices, and creating actionable dashboards for senior management.

This position emphasizes leveraging AIOps processes and procedures, open-source technologies, and cloud-based LLMs and AI models for automation, optimization, and real-time insights.

Candidates with a Diploma in AIOps (RQF Level 6) from Al Nafi, particularly those with Merit or Distinction and who have completed all Al Razzaq program requirements, will be exempted from the 5+ years of experience requirement and given high priority. This role also offers opportunities for relocation to overseas locations at the discretion of senior management.

Key Responsibilities
  1. Data Pipeline Management:
    Design, build, and maintain robust, automated AIOps-driven data pipelines to collect, process, and analyze data from various microservices.
    Ensure data integrity, accuracy, and timeliness using one-source tools and proactive monitoring.
    Leverage AIOps capabilities for self-healing pipelines, issue detection, and performance optimization.
  2. Dashboard Creation and Maintenance:
    Develop visually engaging, AI-enhanced dashboards using Tableau, Power BI, or Looker.
    Integrate dashboards with LLMs and AI models for predictive analytics and real-time insights.
    Regularly update dashboards to reflect the latest business metrics, KPIs, and trends for senior management decision-making.
  3. Data Integration and Consolidation:
    Aggregate, integrate, and cleanse data from distributed systems and microservices into centralized repositories.
    Implement ETL/ELT processes using AIOps automation tools to standardize data for analysis and visualization.
    Utilize real-time data streaming technologies like Kafka or Flink to enable continuous updates and advanced scalability.
  4. Data Analysis and Reporting:
    Analyze large datasets to uncover trends, patterns, and actionable insights using AI and machine learning models.
    Collaborate with cross-functional teams to translate business needs into technical solutions.
    Provide predictive and prescriptive analytics using AIOps-enhanced frameworks.
  5. Technical Leadership:
    Stay updated on the latest Big Data technologies, AIOps frameworks, and best practices.
    Mentor junior team members on Big Data analytics, AIOps, and AI-driven tools.
    Contribute to strategic planning for cloud-native, AI-driven data infrastructure initiatives.

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