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Familiarity with Lake Formation and AWS data lake architecture. Write and maintain data quality checks to ensure accuracy, completeness, and reliability of data. The ideal candidate will have hands-on experience with EMR and Spark (PySpark), a strong understanding of data mesh principles, and a pass

Write and maintain data quality checks to ensure accuracy, completeness, and reliability of data. Familiarity with Lake Formation and AWS data lake architecture. Establish a standardized framework to promote consistency and ensure alignment with architectural standards.

Responsibilities: Design, develop, and optimize data pipelines using EMR and Spark (PySpark) Implement and manage AWS Lake Formation for secure and governed data access Contribute to the development of data mesh solutions, enabling domain-oriented data ownership and interoperability Write and

Responsibilities: Design, develop, and optimize data pipelines using EMR and Spark (PySpark) Implement and manage AWS Lake Formation for secure and governed data access Contribute to the development of data mesh solutions, enabling domain-oriented data ownership and interoperability Write and

Responsibilities: Design, develop, and optimize data pipelines using EMR and Spark (PySpark) Implement and manage AWS Lake Formation for secure and governed data access Contribute to the development of data mesh solutions, enabling domain-oriented data ownership and interoperability Write and

Responsibilities: Design, develop, and optimize data pipelines using EMR and Spark (PySpark) Implement and manage AWS Lake Formation for secure and governed data access Contribute to the development of data mesh solutions, enabling domain-oriented data ownership and interoperability Write and

Responsibilities: Design, develop, and optimize data pipelines using EMR and Spark (PySpark) Implement and manage AWS Lake Formation for secure and governed data access Contribute to the development of data mesh solutions, enabling domain-oriented data ownership and interoperability Write and

Responsibilities: Design, develop, and optimize data pipelines using EMR and Spark (PySpark) Implement and manage AWS Lake Formation for secure and governed data access Contribute to the development of data mesh solutions, enabling domain-oriented data ownership and interoperability Write and

Responsibilities: Design, develop, and optimize data pipelines using EMR and Spark (PySpark) Implement and manage AWS Lake Formation for secure and governed data access Contribute to the development of data mesh solutions, enabling domain-oriented data ownership and interoperability Write and

Write and maintain data quality checks to ensure accuracy, completeness, and reliability of data. Familiarity with Lake Formation and AWS data lake architecture. Establish a standardized framework to promote consistency and ensure alignment with architectural standards.