Job Description :

e AWS data architect will be responsible for the end-to-end design, migration, and implementation of data architecture including platform, quality, data flow, data movement, ETL, and integration.

SUMMARY OF ESSENTIAL JOB FUNCTIONS

•        Configure AWS for a complex data migration from onprem

•        Lead data movement activities

•        Work through all stages of a data solution life cycle: analyze/profile data, create conceptual, logical & physical data model designs, architect and design ETL, reporting, and analytics solutions.

•        Lead source to target mapping, define interface process and standards, and implement the standards

•        Lead and facilitate solution JAD sessions to identify issues and proceed to

•        Develop and implement proactive monitoring and alert mechanism for data issues.

•        Assist the project leadership as part of the PMO leadership team

•        Collaborate with other workstream leads to ensure the overall developments are in sync

•        Identify risks and opportunities of potential logic and data issues within the data environment

•        Guide, influence, and mentor junior members of the team

•        Collaborate effectively with the global team and ensure day to day deliverables are met

 

MINIMUM REQUIREMENTS

•        Bachelor's degree and 5+ years of experience in related data and analytics area

•        3+ years of deep hands on AWS experience including AD integration, Configuration Management, CICD Architecture Set up and Implementation

•        Experience with PySpark preferred

•        Demonstrated knowledge of modern data solutions

•        Strong source to target mapping experience and ETL principles/knowledge

•        Prior experience as a senior data architect, technical lead, system architect, or similar is required

•        Excellent verbal and written communication skills.

•        Strong quantitative and analytical skills with accuracy and attention to detail

•        Ability to work well independently with minimal supervision and can manage multiple priorities

•        Proven experiences with AWS, Hadoop, Snowflake, Vertica, Talend, Tableau, and other modern technology platforms is required

 

 

             

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