COSMOTE Global Solutions seeks a Data Engineer to enhance data management and infrastructure, ensuring seamless integration of various data systems.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
Excellent SQL skills including complex transformations and query optimization
Proven experience in the design, development, and maintenance of robust ETL/ELT pipelines
Experience managing data flow across staging, raw, business vault, and data mart layers
Ability to implement and maintain Data Vault 2.0 models designed by the Data Modeler
Experience integrating SQL-based and NoSQL data sources (e.g., JSON format data)
Ability to technically implement governance and lineage tracking mechanisms
Capability to optimize workloads, queries, and processing performance
Implementation of data validation, reconciliation, and quality controls in pipelines
Application of performance, maintainability, and coding best practices
Experience implementing monitoring, alerting, and logging frameworks
Ability to define and document data engineering standards and best practices
Experience querying MongoDB or other NoSQL databases
Experience implementing automated data quality checks
Ability to optimize cloud resource usage and manage costs
Exposure to AI-driven performance optimization techniques
Experience with modern cloud data platforms
Experience with large-scale or near real-time data processing environments
Knowledge of encryption, masking, and secure data handling practices

COSMOTE Global Solutions seeks a Data Engineer to enhance data management and infrastructure, ensuring seamless integration of various data systems.

Bachelor's degree in Computer Science, Engineering, or a related field.
Excellent SQL skills including complex transformations and query optimization
Proven experience in the design, development, and maintenance of robust ETL/ELT pipelines
Experience managing data flow across staging, raw, business vault, and data mart layers
Ability to implement and maintain Data Vault 2.0 models designed by the Data Modeler
Experience integrating SQL-based and NoSQL data sources (e.g., JSON format data)
Ability to technically implement governance and lineage tracking mechanisms
Capability to optimize workloads, queries, and processing performance
Implementation of data validation, reconciliation, and quality controls in pipelines
Application of performance, maintainability, and coding best practices
Experience implementing monitoring, alerting, and logging frameworks
Ability to define and document data engineering standards and best practices
Experience querying MongoDB or other NoSQL databases
Experience implementing automated data quality checks
Ability to optimize cloud resource usage and manage costs
Exposure to AI-driven performance optimization techniques
Experience with modern cloud data platforms
Experience with large-scale or near real-time data processing environments
Knowledge of encryption, masking, and secure data handling practices

Data Engineer