Remote Cloud Data Migration Lead (SAS to PySpark/AWS)
Cognizant
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Benefits offered by this job
Job summary
Cognizant is seeking a Cloud Data Migration Lead to drive large-scale data modernization from SAS to cloud-native AWS and PySpark solutions. You will lead migrations, define strategies, and partner with architects and engineers to design scalable cloud data lake architectures.
Role requires strong leadership, data engineering expertise, and experience guiding complex transformation programs across distributed teams.
Qualifications
- Extensive experience in data warehousing, ETL development, and enterprise data integration.
- Strong hands-on experience with SAS, PySpark, and AWS Glue.
- Proven experience leading cloud data migration and modernization programs.
- Strong expertise with AWS services including S3, Glue, Lambda, IAM, CloudWatch, and Athena.
- Advanced SQL, data modeling, and data transformation skills.
- Experience implementing data quality, reconciliation, governance, and migration frameworks.
- Experience with CI/CD pipelines and DevOps practices.
- Demonstrated ability to lead technical teams and collaborate with business and technology stakeholders.
- Strong communication, presentation, and stakeholder management skills.
Responsibilities
- Lead the assessment, planning, and migration of legacy SAS programs, datasets, macros, and ETL workflows to AWS-based data platforms.
- Define migration strategies, standards, and best practices for converting SAS workloads into PySpark and AWS Glue solutions.
- Partner with data architects and engineering teams to design scalable cloud data lake and integration architectures.
- Establish data validation, reconciliation, and quality frameworks to ensure accuracy, compliance, and successful migration outcomes.
- Provide technical leadership, mentoring, and governance to data engineers, ETL developers, architects, and QA teams throughout the migration lifecycle.
Skills
Tools
Job description
Cognizant is seeking a Cloud Data Migration Lead to drive large-scale data modernization from SAS to cloud-native AWS and PySpark solutions. You will lead migrations, define strategies, and partner with architects and engineers to design scalable cloud data lake architectures.
Role requires strong leadership, data engineering expertise, and experience guiding complex transformation programs across distributed teams.
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