Cloud Engineer

Intelics Solutions – Africa’s largest Information Management Solutions and Service company, is a 100% Subsidiary of Writer Information, Asia’s largest & amongst top 7 worldwide Information Management Service provider. Through our services we offer business value to our customers by combining operational excellence with deep domain expertise in Business Process Services, Contact Centers, Digital Transformation, Secure Storage, Cloud and Data Centre, Cyber Security Services Remote Infra Management Solutions Healthcare Management Solutions and Enterprise Content Management Solutions. Our Business Process Service offerings help organisations move faster – by simultaneously being more innovative & efficient. By leveraging our synergies across business processes, technology & consulting services we are able to ensure & deliver customer-centric environments.

We are recruiting to fill the position below:

Job Title: Data Analyst / Cloud Engineer

Location: Hybrid

Job Summary

• We are seeking a skilled and analytical Data Analyst / Cloud Engineer to collect, process, analyze, and interpret data while designing, deploying, and maintaining secure, scalable cloud infrastructure.
• The successful candidate will combine data analytics expertise with cloud computing knowledge to support data-driven decision-making, optimize business processes, and ensure reliable cloud-based systems.

Key Responsibilities
Data Analysis and Reporting:

• Collect, clean, transform, and analyze structured and unstructured data from multiple sources.
• Develop dashboards, reports, and visualizations using Power BI, Tableau, or similar tools.
• Use SQL, Excel, Python, or R to extract insights and identify trends, patterns, and business opportunities.
• Develop and maintain key performance indicators (KPIs) and performance reports.
• Validate data accuracy, maintain data quality, and document analytical processes.
• Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights.
• Support forecasting, statistical analysis, and data-driven decision-making.

Cloud Engineering and Infrastructure:

• Design, deploy, configure, and maintain cloud infrastructure on platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Manage cloud storage, virtual machines, databases, networking, and computing resources.
• Implement cloud security controls, identity and access management (IAM), encryption, and backup solutions.
• Monitor cloud infrastructure performance, availability, and resource utilization.
• Automate infrastructure deployment and routine operational tasks using scripting and Infrastructure as Code (IaC) tools.
• Troubleshoot cloud infrastructure issues and optimize system performance and costs.
• Support cloud migration, disaster recovery, and business continuity initiatives.
• Implement monitoring, logging, and alerting to maintain system reliability.

Data Engineering and Cloud Integration:

• Build and maintain data pipelines for extracting, transforming, and loading data (ETL/ELT).
• Integrate cloud-based data sources, storage services, and analytical platforms.
• Support the development of cloud data warehouses and data lakes.
• Automate data processing workflows and improve data accessibility.
• Ensure data governance, privacy, security, and compliance with relevant organizational policies.

Key Performance Indicators (KPIs)

• Accuracy, consistency, and timeliness of data reports.
• Reliability and availability of cloud infrastructure.
• Efficiency and performance of data pipelines.
• Reduction in cloud operating costs and resource wastage.
• Compliance with security and data governance requirements.
• Timely resolution of technical issues.
• Quality and business impact of analytical insights.

Required Qualifications

• Bachelor’s Degree in Computer Science, Data Science, Statistics, Information Technology, Engineering, or a related field, or equivalent practical experience.
• Demonstrable experience in data analysis, cloud engineering, or a related technical role.
• Strong knowledge of SQL, Excel, and data visualization tools.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or GCP.
• Knowledge of Python or another programming or scripting language.
• Understanding of databases, data pipelines, networking, and cloud security fundamentals.
• Strong analytical, problem-solving, communication, and documentation skills.

Technical Skills:

• Data Analytics: SQL, Excel, Python, Power BI, Tableau.
• Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform.
• Databases: PostgreSQL, MySQL, SQL Server, or cloud-native databases.
• Data Engineering: ETL/ELT, data pipelines, data warehouses, data lakes.
• Cloud Operations: IAM, networking, monitoring, backups, and cost optimization.
• Automation: Python, Bash, PowerShell, Terraform, or similar tools.
• Version Control: Git and GitHub or equivalent platforms.

Preferred Qualifications:

• Relevant cloud certifications, such as AWS Certified Solutions Architect, Microsoft Azure certifications, or Google Cloud certifications.
• Microsoft Power BI Data Analyst certification or equivalent analytics credentials.
• Experience with cloud data services, such as Amazon Redshift, Azure Synapse Analytics, BigQuery, or Snowflake.
• Familiarity with Docker, CI/CD pipelines, and DevOps practices.
• Knowledge of data governance, information security, and regulatory compliance.
• Experience working with cross-functional teams in an Agile environment.

Core Competencies:

• Analytical thinking and attention to detail.
• Cloud infrastructure management.
• Technical troubleshooting and problem-solving.
• Effective communication and stakeholder engagement.
• Project management and teamwork.
• Continuous learning and adaptability.