Delivery Consultant - Data Analytics US Federal ProServe

Do you like helping agencies implement innovative cloud computing solutions and solve technical problems Would you like to do this using the latest cloud computing technologies Do you have a knack for helping these groups understand application architectures and integration approaches and the consultative and leadership skills to launch a project on a trajectory to success Amazon Web Services (AWS) Professional Services engage in a wide variety of projects for customers and partners providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams to get the right solution delivered and drive feature innovation based upon customer needs.

We are looking for an experienced selfdriven Data Analytics Consultant. In this role you will be building complex data engineering and business intelligence applications using AWS big data stack. You should have deep expertise and passion in working with large data sets data visualization building complex data processes performance tuning bringing data from disparate data stores and programmatically identifying patterns. 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.

It is expected to work from one of the above locations (or customer sites) at least 1 days in a week. This is not a remote position. You are expected to be in the office or with customers as needed.

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.



Key job responsibilities
Design implement and support data warehouse/ data lake infrastructure using AWS bigdata stack Python Redshift QuickSight Glue/lake formation EMR/Spark Athena etc.
Develop and manage ETLs to source data from various financial AWS networking and operational systems and create unified data model for analytics and reporting.
Creation and support of realtime data pipelines built on AWS technologies including EMR Glue Redshift/Spectrum and Athena.
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.
Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.
Use business intelligence and visualization software (e.g. QuickSight) to develop dashboards those are used by senior leadership.
Empower technical and nontechnical internal customers to drive their own analytics and reporting (selfserve reporting) and support adhoc reporting when needed.
Working closely with team members to drive realtime model implementations for monitoring and alerting of risk systems.
Manage numerous requests concurrently and strategically prioritizing when necessary
Partner/collaborate across teams/roles to deliver results.
Mentor other engineers influence positively team culture and help grow the team.

About 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Bachelors degree in computer science engineering analytics mathematics statistics IT or equivalent

Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Masters degree in computer science engineering analytics mathematics statistics IT or equivalent
Prior experience in programming using Python

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.