Lead AWS Data Engineer ( Onsite)

Cognizant Technology Solutions - Grove City, OH

Full-time - Senior

Grove City, OH

Professional, Scientific, and Technical Services

About the position

The Lead AWS Data Engineer position at Cognizant involves designing and implementing scalable data solutions using AWS services. The role is crucial for aligning technical solutions with business objectives, particularly in the context of Risk Management and Property & Casualty Insurance. The position requires a strong background in data architecture and engineering, with a focus on optimizing data processing pipelines and ensuring compliance with industry standards.

Responsibilities

• Lead the design and implementation of scalable solutions using AWS Cloud Formation, AWS Glue, and AWS Lambda.
• Oversee the integration of AWS CloudWatch and AWS IAM to ensure robust monitoring and security.
• Provide expertise in Apache Spark and Python to develop and optimize data processing pipelines.
• Utilize AWS Glue Catalog and Amazon S3 for efficient data storage and retrieval.
• Implement data modeling techniques to support complex data structures and relationships.
• Apply NoSQL database solutions to manage large volumes of unstructured data.
• Ensure compliance with Risk Management protocols to mitigate potential threats.
• Collaborate with cross-functional teams to align technical solutions with business goals.
• Conduct regular assessments to identify and address system vulnerabilities.
• Develop and maintain documentation for all architectural designs and implementations.
• Provide mentorship and guidance to junior team members to foster a culture of continuous learning.
• Engage with stakeholders to gather requirements and translate them into technical specifications.
• Monitor system performance and implement optimizations to enhance efficiency.

Requirements

• Possess a minimum of 12 years of experience in architecture and solution design.
• Demonstrate expertise in AWS Cloud Formation, AWS Glue, AWS Lambda, and AWS IAM.
• Show proficiency in Apache Spark, Python, and data modeling techniques.
• Have a strong background in Property & Casualty Insurance domain.
• Exhibit excellent communication skills in English, both written and spoken.
• Display a solid understanding of Risk Management principles.
• Experience with NoSQL databases and Amazon S3 is essential.

Benefits

• Annual salary between $110,000 - $120,000 depending on experience and qualifications.