Senior Data Analytics Specialist

Job Overview:

We are seeking a highly skilled Senior Data Analytics Specialist to manage complex data pipelines, integrate data from multiple microservices, and create actionable dashboards for senior management.

Candidates with a Diploma in Artificial Intelligence Operations (AIOps) will be given high priority. This role also offers opportunities for relocation to overseas locations at the discretion of senior management.

Key Responsibilities:

• 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.
• Dashboard Creation and Maintenance:
  Develop visually engaging, AI-enhanced dashboards using Tableau, Power BI, or Looker.
  Integrate dashboards with artificial intelligence 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.
• 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.
• 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.
• 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.

Qualifications and Skills:

Mandatory Qualifications:

1. Diploma in AIOps or Bachelor's/Master's degree 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. For non-AIOps diploma holders: Minimum of 5+ years of experience in Big Data engineering, data analysis, or similar roles.

Technical Expertise:

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

Preferred Qualifications:

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

Soft Skills:

• Strong analytical, problem-solving, and organizational abilities.
• Effective communication for presenting technical insights to non-technical stakeholders.

What We Offer:

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