Mobile Software Developer jobs in Germany

• Experience with developing and implementing a data security & compliance strategy.
• Experience with data governance, data quality management, and data privacy.
• Experience with data integration and data interoperability projects.
• Experience with Cloud MLOps solutions.
• Experience with AWS SageMaker & StepFunctions.

Data Modelling and Database Design:

• Lead the design and development of the AWS data and machine learning platform architecture, ensuring scalability, reliability, and security.
• Define best practices and standards for data and ML architecture on AWS.
• Architect data models and design databases to support efficient storage and retrieval of telecom-related data.
• Optimize data structures for both transactional and analytical workloads.
• Design scalable and cost-effective machine learning infrastructure on AWS, encompassing model training, deployment, and monitoring.
• Implement solutions for model versioning, A/B testing, and automated retraining.

Data Migration Program:

• Develop and execute a comprehensive program for migrating existing workloads to AWS.
• Collaborate with cross-functional teams to assess, plan, and execute migration strategies, minimizing downtime and ensuring data integrity.
• Familiarity with AWS EMR & RedShift
• Evaluate, recommend, and implement big data technologies on AWS for processing and analysing large datasets.
• Design solutions for real-time data processing and analytics.

Cost Optimization:

• Implement cost-effective solutions on AWS, optimizing resource utilization and ensuring efficient use of cloud resources.
• Monitor and analyze cost patterns, providing recommendations for optimization.
• Continuously optimize architecture based on performance metrics.

Data Security, Compliance & Access Management:

• Ensure that the data architecture complies with relevant data protection regulations (e.g., GDPR)
• Design data architecture with robust security mechanisms to protect sensitive and confidential data.
• Ensure encryption of data at rest and in transit.
• Implement data encryption methods across databases and data transfer channels to protect sensitive information.
• Implement role-based access controls (RBAC) to ensure that only authorized personnel have access to specific datasets.
• Establish and enforce strict data access controls and permissions to ensure authorized usage and prevent unauthorized access.

QUALIFICATIONS:

• Bachelors or masters degree in a related technical field (e.g., Computer Science, Data Science, Information Technology).
• Extensive experience as a data and machine learning architect with a focus on AWS.
• Strong expertise in database design, big data technologies, and machine learning frameworks.
• Proficiency in database management systems, ETL tools, and data warehousing solutions.
• Experience with data governance, data quality management, and data privacy.
• Proven experience in leading migration programs to AWS.
• AWS certifications in relevant areas (e.g., AWS Certified Solutions Architect, AWSCertified Machine Learning).

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@naukrigulf.com