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Cloud Database Analyst - Midrand

Essential Skills Requirements:
  • Cloud Services and Databases: Proficiency in cloud platforms (Azure, AWS) and database services (Azure SQL Database, Amazon RDS, Amazon Redshift) and APIs.
  • Data Analysis and Visualization Tools: Strong skills in data visualization and BI tools (Power BI, Tableau) for creating insightful dashboards and reports.
  • Programming and Data Science: Knowledge of programming languages (Python, R) and related libraries (Pandas, NumPy) for data analysis.
  • ETL and Data Pipeline Tools: Experience with ETL processes and tools (Apache Airflow, AWS Glue) for data extraction, transformation, and loading.
Advantageous Skills Requirements:
  • Big Data Technologies: Experience with big data frameworks and querying tools (Apache Spark, Apache Hive) for handling large-scale data processing.
  • DevOps and Infrastructure as Code (IaC): Understanding of DevOps practices and IaC tools (Jenkins, Terraform) for efficient cloud resource management and deployment.
  • Scripting and Automation: Ability to write automation scripts (Bash, PowerShell) to streamline database operations and maintenance tasks.
  • Collaboration and Version Control: Proficiency with version control systems (Git) and project management tools (JIRA, Confluence) to enhance team collaboration and workflow organization.
Qualifications/Experience:
  • Bachelors Degree in Computer Science, Information Technology, Data Science, or a related field.
  • Proven experience in data analysis or a similar role with a focus on cloud environments.
Role and Responsibilities:
As a Cloud Database Analyst at BMW, you will:
  • Conduct comprehensive research and analysis of our database usage across public cloud platforms, primarily Azure and AWS.
  • Collect and interpret data related to database technologies, configurations, and performance to create a detailed footprint of our cloud databases.
  • Evaluate and report on the cost implications of database usage in the cloud, identifying opportunities for cost savings and efficiency improvements.
  • Analyze security parameters and compliance of databases in the cloud, ensuring that all data is protected according to industry standards and internal policies.
  • Collaborate with internal stakeholders to gather requirements and deliver tailored reports that provide actionable insights on database technologies and usage.
  • Stay up to date with the latest trends and best practices in cloud database management and operations.
  • Provide insights into database optimization, scalability, and management based on thorough data analysis and expertise.
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