Date Posted: 23rd Jan 2025

Closing date: 2nd Feb 2025

Apply to: hr@athinaa.co.uk cc: info@athinaa.co.uk

Job Title: IT Data Communication Analyst & Cloud Consultant

Job Code: 3544  

Salary: £39100 PA 

Roles & Responsibilities

Design and implement scalable, cost-effective, and secure cloud-based data communication solutions leveraging AWS, Azure, and GCP platforms.

Architect cloud infrastructure and services to optimize performance, availability, and data security.

Data Engineering and Pipeline Development

Develop, deploy, and maintain robust data pipelines for processing large datasets using tools like PySpark, DataBricks, Airflow, and AWS Glue.

Implement ETL/ELT workflows to extract, transform, and load data from diverse data sources into data warehouses and lakehouses.

Performance Optimization and Troubleshooting

Analyze and optimize PySpark queries and cloud infrastructure for efficient data processing and reduced operational costs.

Identify and resolve system bottlenecks, ensuring high availability and fault-tolerant architectures.

Cloud Operations and Automation

Automate cloud operations using scripting languages like Python, Bash, and YAML (CloudFormation).

Deploy and manage containerized applications with Docker and Kubernetes in cloud environments.

Big Data Technologies and Data Governance

Leverage Big Data tools and frameworks, including Apache Spark, Azure Data Factory, and GCP Dataproc, to manage large-scale data processing.

Ensure data governance, quality, and integrity across all systems and data communication channels.

Monitoring, Logging, and Reporting

Utilize Prometheus, Grafana, and Elasticsearch for monitoring, logging, and performance analysis.

Implement error-handling and monitoring mechanisms to ensure smooth data processing operations.

Collaboration and Consulting

Act as a technical consultant for cross-functional teams to align cloud and data communication strategies with business objectives.

Provide expertise in DevOps practices, including CI/CD pipeline creation using Azure DevOps.

Documentation and Best Practices

Create comprehensive technical documentation and maintain knowledge repositories for processes, standards, and solutions.

Ensure adherence to industry best practices for cloud and data system security, scalability, and compliance.

Agile and Continuous Improvement

Work within Agile environments using tools like Jira and Confluence, contributing to continuous improvement of processes and solutions.

Proactively suggest enhancements to existing data communication frameworks and cloud operations.