Amazon Data Analytics Architect/Consultant WWPS US Federal Financial ProServe 

United States, Kansas 

902873586

We are looking for an experienced, self-driven Data Analytics Consultant. In this role, you will design and implement scalable, distributed and high-performance data architectures on AWS. You should have deep expertise and passion in working with large data sets, data visualization, building complex data modeling, ETL processes, and data warehousing concepts. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements.Key Responsibilities include:
· Lead medium to large-scale data projects from inception to completion
· Creation and support of real-time data pipelines built on AWS technologies Amazon S3, Redshift, EMR, Glue, Athena, and Lake Formation
· Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.
· Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for financial model development, statistical analysis, prediction, etc
· Guide clients on implementing ML solutions in their data pipeline using machine learning concepts and AWS AI/ML services like SageMaker
· Use data visualization tools like AWS QuickSight to create insightful dashboards and reportsThis position requires that the candidate selected be a US Citizen.Key job responsibilities
Key Responsibilities include:
· Lead medium to large-scale data projects from inception to completion
· Creation and support of real-time data pipelines built on AWS technologies Amazon S3, Redshift, EMR, Glue, Athena, and Lake Formation
· Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.
· Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for financial model development, statistical analysis, prediction, etc
· Guide clients on implementing ML solutions in their data pipeline using machine learning concepts and AWS AI/ML services like SageMaker
· Use data visualization tools like AWS QuickSight to create insightful dashboards and reportsAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience implementing AWS services in a variety of distributed computing environments
- Technical degree or equivalent experience
- 5+ years of relevant industry experience
- 3+ years of hands-on experience with AWS service

- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- AWS Certified Solutions Architect - Associate
- AWS Certified Data Analytics – Specialty / AWS Certified Data Engineer Associate