Big Data Strategist and Analytics Leader

15 hours ago

Karachi, Sindh, Pakistan beBee Careers Full time

Job Summary:

We are seeking a highly skilled Senior Big Data Specialist/Analyst to lead our innovative team.

This role is crucial for managing complex data pipelines, integrating data from multiple microservices, and creating actionable dashboards for senior management.

The 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 strong background in data analytics and engineering will be considered. A Diploma in AIOps (RQF Level 6) from Al Nafi may exempt candidates from the 5+ years of experience requirement and give them high priority.

This role 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.
  2. Dashboard Creation and Maintenance:
    Develop visually engaging, AI-enhanced dashboards using Tableau, Power BI, or Looker.
  3. Data Integration and Consolidation:
    Aggregate, integrate, and cleanse data from distributed systems and microservices into centralized repositories.
  4. Data Analysis and Reporting:
    Analyze large datasets to uncover trends, patterns, and actionable insights using AI and machine learning models.
  5. Technical Leadership:
    Stay updated on the latest Big Data technologies, AIOps frameworks, and best practices.

Required Skills and Qualifications:

Mandatory Qualifications:

  1. Diploma in AIOps (RQF Level 6) or BSc/MSc in Data Science, Computer Science, or a related field.
  2. Diploma in AIOps from Al Nafi, with Merit or Distinction, and completion of all Al Razzak program requirements will be given high priority and exempted from the 5+ years of experience requirement.
  3. Minimum of 5+ years of experience in Big Data engineering, data analysis, or similar roles.

Technical Expertise:

  1. Proficiency in Big Data frameworks such as Hadoop, Spark, Kafka, or Flink.
  2. Experience with data pipeline tools (e.g., Apache Airflow, AWS Glue) integrated with AIOps monitoring and orchestration.
  3. Advanced SQL and familiarity with NoSQL databases.
  4. Hands-on experience with data visualization tools like Tableau, Power BI, or Looker.
  5. Strong programming skills in Python, Scala, or Java, with experience in AI and ML model integration.
  6. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Preferred Qualifications:

  1. Expertise in integrating data from microservices architectures using AIOps tools.
  2. Strong knowledge of open-source technologies for data analytics and cloud solutions.
  3. Knowledge of machine learning, predictive analytics, and AI models for decision support.
  4. Experience with one-source tools to ensure seamless data integration and consistency.

Benefits:

  1. Competitive salary and benefits package.
  2. Opportunity to work on cutting-edge technologies, AIOps, and AI-driven projects.
  3. Collaborative and supportive team environment.
  4. Professional development and growth opportunities.
  5. Relocation opportunities based on senior management discretion.

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