AWS Data Engineer

Cognizant is a leading digital services company, and they are seeking an AWS Data Engineer to design and deliver modern, scalable cloud-based data platforms. The role involves leading the architecture of enterprise data solutions, overseeing data transformation frameworks, and driving cloud migration initiatives.

Responsibilities:

• Define and lead the architecture of enterprise data platforms, including data ingestion, storage, processing, integration, and analytics solutions
• Design, develop, and oversee scalable data transformation frameworks using Python, PySpark, Apache Airflow, and AWS-native services
• Lead large-scale cloud migration and modernization initiatives, leveraging AWS DMS and schema conversion tools to transition legacy environments to cloud-native architectures
• Drive performance, scalability, reliability, and cost optimization across AWS data ecosystems, including Redshift, Athena, EMR, and related services
• Partner with client architects, business stakeholders, and cross-functional teams to guide technical strategy, conduct architecture and code reviews, and ensure successful project delivery in complex enterprise environments

Requirements:

• Extensive experience architecting and implementing enterprise-scale data platforms on AWS
• Deep expertise with AWS services including Glue, Redshift, Aurora, EMR, S3, Athena, Kinesis, Lambda, and related data technologies
• Advanced proficiency in SQL, data modeling, Python, and PySpark for developing production-grade data pipelines and analytics solutions
• Hands-on experience designing, implementing, and managing complex workflows using Apache Airflow
• Proven success delivering large-scale database modernization and cloud migration programs
• Strong understanding of data lake, data warehouse, and modern data architecture patterns
• Experience leading technical teams in Agile delivery environments and mentoring engineers
• Excellent stakeholder management and communication skills, with the ability to engage client architects and senior technical leaders
• Experience optimizing performance and cost efficiency across large AWS data environments
• Expertise with Spark and Hadoop ecosystems on Amazon EMR
• Experience working within multi-vendor technology delivery environments
• Knowledge of enterprise governance, data quality, security, and compliance best practices
• AWS Certifications such as AWS Certified Solutions Architect, AWS Certified Data Engineer, or related credentials
• Proven ability to influence technical strategy from solution design through production deployment