Job Description
Data Engineering Specialist
We are seeking a skilled Data Engineer to design, build, and optimize data pipelines and architectures for credit risk analysis and reporting.
Key Responsibilities:
Design and develop data pipelines using SAS and Google Cloud Platform (GCP) for efficient data processing and integration.
Benchmark and refine data architectures to support timely and accurate reporting.
Analyze and manage large datasets to inform credit risk modeling and analysis.
Collaborate with stakeholders to gather requirements and provide data solutions.
Prioritize data processing performance for on-time delivery.
Maintain compliance with regulatory standards and best practices.
Document data processes and methodologies comprehensively.
Required Skills and Qualifications:
Technical Proficiency: Expertise in SAS and Google Cloud Platform (GCP).
Domain Knowledge: Strong understanding of the Credit Risk domain.
Data Engineering Experience: Proven track record in designing and building data pipelines and architectures.
Analytical Acumen: Excellent analytical and problem-solving skills for complex data analysis.
Detailed Minded: High level of accuracy and attention to detail in data processing and analysis.
Effective Communication: Strong verbal and written communication skills to convey insights and recommendations.
We are seeking a skilled Data Engineer to design, build, and optimize data pipelines and architectures for credit risk analysis and reporting.
Key Responsibilities:
Design and develop data pipelines using SAS and Google Cloud Platform (GCP) for efficient data processing and integration.
Benchmark and refine data architectures to support timely and accurate reporting.
Analyze and manage large datasets to inform credit risk modeling and analysis.
Collaborate with stakeholders to gather requirements and provide data solutions.
Prioritize data processing performance for on-time delivery.
Maintain compliance with regulatory standards and best practices.
Document data processes and methodologies comprehensively.
Required Skills and Qualifications:
Technical Proficiency: Expertise in SAS and Google Cloud Platform (GCP).
Domain Knowledge: Strong understanding of the Credit Risk domain.
Data Engineering Experience: Proven track record in designing and building data pipelines and architectures.
Analytical Acumen: Excellent analytical and problem-solving skills for complex data analysis.
Detailed Minded: High level of accuracy and attention to detail in data processing and analysis.
Effective Communication: Strong verbal and written communication skills to convey insights and recommendations.
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineering Professional position is now open for candidates interested in the Data Entry Jobs sector. This role in New Delhi offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Data Entry Jobs is a plus.
