AI Data Engineer 5

Noida - India

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

About the Role

Design develop and maintain robust data pipelines and ETL processes that enable the seamless integration cleansing harmonization and transformation of data.
Collaborate closely with data scientists analysts and software engineers to implement data-driven AI solutions that align with strategic business objectives.
Leverage advanced tools and platforms including Azure Data Factory Power BI and SQL databases to build scalable data solutions.
Implement and maintain data fabric architectures to ensure streamlined data access efficient management and enhanced performance.
Proactively identify opportunities for data optimization quality improvement and automation across the data lifecycle.
Facilitate the deployment and integration of AI models ensuring data quality and compatibility with established analytics infrastructure.
Engage regularly with cross-functional stakeholders to understand data needs and deliver timely impactful analytics and reports.

Required Skills and Experience

Minimum of 10 years of experience in data engineering ETL development and data pipeline creation.
Strong proficiency in SQL Azure Data Factory and Power BI.
Demonstrated expertise in data cleaning harmonization techniques and managing complex data integrations.
Solid understanding of data fabric concepts and experience with related implementations.
Hands-on experience developing and maintaining large-scale data pipelines for AI and analytics projects.
Excellent communication skills with the ability to translate complex data concepts clearly to non-technical stakeholders.
Proven track record of collaborating effectively in agile cross-functional team environments.
Proven experience in team leadership mentorship or people management
Experience guiding projects or initiatives that showcase senior-level judgment and accountability

Preferred Skills

Experience deploying and managing data solutions within Azure AI Azure ML or related AI/ML environments.
Familiarity with DevOps practices especially in relation to continuous integration and deployment (CI/CD) for data solutions.
Certifications in Azure Data Engineering or related Microsoft certifications (e.g. Azure Data Engineer Associate).
Strong background or experience in business analytics enhancing the strategic alignment of technical solutions.
Active participation or interest in data engineering and AI communities keeping ahead of emerging trends and technologies.
Previous experience working within professional services or consultancy environments.

About the Role Design develop and maintain robust data pipelines and ETL processes that enable the seamless integration cleansing harmonization and transformation of data. Collaborate closely with data scientists analysts and software engineers to implement data-driven AI solutions that align wi...

About the Role

Design develop and maintain robust data pipelines and ETL processes that enable the seamless integration cleansing harmonization and transformation of data.
Collaborate closely with data scientists analysts and software engineers to implement data-driven AI solutions that align with strategic business objectives.
Leverage advanced tools and platforms including Azure Data Factory Power BI and SQL databases to build scalable data solutions.
Implement and maintain data fabric architectures to ensure streamlined data access efficient management and enhanced performance.
Proactively identify opportunities for data optimization quality improvement and automation across the data lifecycle.
Facilitate the deployment and integration of AI models ensuring data quality and compatibility with established analytics infrastructure.
Engage regularly with cross-functional stakeholders to understand data needs and deliver timely impactful analytics and reports.

Required Skills and Experience

Minimum of 10 years of experience in data engineering ETL development and data pipeline creation.
Strong proficiency in SQL Azure Data Factory and Power BI.
Demonstrated expertise in data cleaning harmonization techniques and managing complex data integrations.
Solid understanding of data fabric concepts and experience with related implementations.
Hands-on experience developing and maintaining large-scale data pipelines for AI and analytics projects.
Excellent communication skills with the ability to translate complex data concepts clearly to non-technical stakeholders.
Proven track record of collaborating effectively in agile cross-functional team environments.
Proven experience in team leadership mentorship or people management
Experience guiding projects or initiatives that showcase senior-level judgment and accountability

Preferred Skills

Experience deploying and managing data solutions within Azure AI Azure ML or related AI/ML environments.
Familiarity with DevOps practices especially in relation to continuous integration and deployment (CI/CD) for data solutions.
Certifications in Azure Data Engineering or related Microsoft certifications (e.g. Azure Data Engineer Associate).
Strong background or experience in business analytics enhancing the strategic alignment of technical solutions.
Active participation or interest in data engineering and AI communities keeping ahead of emerging trends and technologies.
Previous experience working within professional services or consultancy environments.