Lead, Design and develop data solutions on various AWS services along with Databricks
Execute POCs and Build data integrations between on-prem/cloud-based systems
Manage and use appropriate tools in the cloud data lake development and deployment
Migrate existing data processing onto cloud platform
Participating in technical design, build, configuration, unit testing, and deployment
Ensure the requirement is accurately translated to technical design and implementation
Ownership in diagnosis and resolution of issues and perform accurate root cause analysis
Work with other teams for deployment, testing, training and production support
Ensure that development, coding, privacy and security standards are adhered to at all times
Architecture review, identify gaps, implement best practices on AWS platform

qualified senior / lead data engineering candidates
experience primarily focused on Master Data Management use cases
designing and delivering Databricks data ingestion pipelines
AWS services proficiency
hands on experience with various AWS services and Databricks
proficiency in writing PySpark programming
writing and analyzing complex SQL (Oracle/SQL)
experience with cloud platform (AWS is highly preferred)
understanding of on-premise to cloud migration of data applications/solutions
hands on experience with Python programming for data processing
ability to perform root cause analysis on the SQL databases
ability to independently work and ensure requirements are properly translated in pipeline
ability to test the pipeline thoroughly for data accuracy (reconciliation)
experience with Agile SDLC processes

Senior Manager, MDM AWS Solution Architect

Key skills