Requirement for Data Modeler in Malvern, PA on Contract

Hello,We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, and we currently have a job opening that may interest you

• Should have experience defining architectural designs and solutions for modernizing legacy data layer to be cloud native
• Experience with defining ETL data pipelines to automate data movement from on-premises to the cloud
• Experience with Data Modelling for highly available applications especially utilizing NO-SQL data-stores
• Experience with legacy technology platforms especially Mainframe DB2
• Understanding of domain-driven design concept for defining bounded context and data layer as per Microservices based Architecture

• Capability to interact with leadership and stakeholders to be able to define architectural designs for solutions
• Relational and Non-Relational databases in
  AWS cloud especially DynamoDB, S3, Postgres SQL, Aurora etc.
• AWS cloud services preferred but not limited to
  Lambda, Kinesis, EC2, EMR, RDS, Redshift etc.
• New and emerging data and analytics
  technologies (i.e. Hadoop, Spark, Elastic, AWS, etc.)
• Mainframe DB2, Batch Jobs, Stored Procedures, and other Legacy Relational DBs

• Work with senior client leadership and stakeholders to define and execute on strategy as well as plans to modernize legacy platform to be cloud native
• Guide different engineering teams in refactoring and modernizing applications be to be microservices-based cloud-native capabilities
• Define strategy for modernizing data components e.g. Stored procedures, Batch Jobs, Data Archival and Ingestion of data into the Data Lake in AWS Cloud
• Create, author, and edit architecture documents, design documents, data flow diagrams, and system Run Books, and drive reviews for these deliverables as well as development work products, jobs/pipelines and mappings.
• Drive data analysis and modeling efforts and assist in the architecture, design and development of overall data foundation architecture.
• Define systems model for developing Data replication/ migration Pipelines and define the overall modernization strategy from DB2 to AWS Cloud
• Cloud migration assessment & architecture using Snowflake, Snowpipe, AWS S3, RDS, Aurora, Lambda, Step Functions, Cloud Watch, Tableau
• Define best practices for data structure and elements in Cloud – guidelines on usage of element types such as Set, Map, guideline on setting Keys, List; configuration etc.
• Develop sample codes and accelerators for standardizing and expediting the engineering teams’ development efforts