Amazon Delivery Consultant Data Engineering WWPS US Federal ProServe 

United States, Texas, Arlington 

510205741

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.This position requires that the candidate selected be a US Citizen and 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
As an experienced technology professional, you will be responsible for:1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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 below, 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

- Bachelor's degree in Computer Science, Engineering, related field or equivalent experience.
- 3+ years of experience in cloud architecture and implementation.
- 3+ years experience with detailed knowledge of data warehouse technical architecture, infrastructure components, ETL / ELT and analytic tools, data engineering, and large scale data manipulation using distributed computing technologies (e.g. Spark, EMR, Hive, Kafka, RedShift).
- Current, active US Government Security Clearance of TS/SCI with Polygraph

- Coding proficiency in Python.
- Knowledge of professional software engineering practices and best practices for the software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience in relational database concepts with a solid knowledge of SQL as well as performance tuning activities for both query, database, and ETL solutions.
- Industry experience as a Data Engineer, with a track record of maintaining, processing, and extracting value from large datasets.
- Experience leading large scale data engineering and analytics projects, including using AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, and Lambda.
- Experience with non-relational databases / data stores (object storage, document or key value stores, graph databases, columnar databases).
- Experience implementing and managing data governance solutions for comprehensive metadata management, discoverability, lineage, data quality, and access control.