Data Engineer - Custom Analytics - TS/SCI+, MVP Analytics \u0026 Data Engineering

Amazon Web Services (AWS), Worldwide Public Sector (WWPS), MVP Analytics & Data Engineering Team (MADE) is seeking a Data Engineer who will be responsible for developing and managing big data systems. The ideal candidate will possess a deep understanding of data engineering fundamentals and best practices, with the skills and experience to develop autonomous, scalable programs. Familiarity and exposure to data warehousing and cloud-based service offerings are also requirements to raise the bar in this role. The Data Engineer will be responsible for scaling existing infrastructure, incorporating new data sources, and building robust data pipelines for production level systems. In partnership with business intelligence engineers and analysts, the Data Engineer will work backwards from the customer to build reliable and scalable data solutions to meet the business needs. Finally, this individual will work closely with project management teams to ensure proper guidance, use cases, and documentation is available to our Sales and Operations teams.

***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.

Responsibilities include:

• \tUnderstand existing databases and warehouse structures in order best determine how to consolidate and aggregate data in an efficient and scalable way.

• \tDesign and code all aspects of data solutions using Amazon Redshift (SQL Server) to build out an Operations data warehouse.

• \tCreate and propose technical design documentation, which includes current and future ETL functionality, database objects affected, specifications, and flows and diagrams to detail the proposed implementation.

• \tDesign, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.

• \tImplementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.

• \tEvaluating and making decisions around dataset implementations designed and proposed by peer data engineers.

• \tManage AWS resources including EC2, Redshift, S3, etc. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.

• \tParticipating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata

Basic qualifications

• \tDegree in Computer Science, Engineering, Mathematics, or a related field and 5+ years industry experience

• \tMust have one year of experience in the following skill(s): (1) Developing and operating large-scale ETL/ELT processes; database technologies; data modeling (2) Experience with at least one relational database technology such as Redshift, RDS, Oracle, Postgres

• \tExperience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

• \t4+ year of coding experience with modern programming or scripting language (Python, Scala, Java, C# etc.).

• \tAdvanced SQL and query performance tuning skills

• \tExperience with at least one massively parallel processing data technology such as Redshift, Spark or Hadoop based big data solutions

Preferred qualifications

• \tMaster's/PhD degree in or Computer Science, Engineering, Mathematics or related discipline

• \tExperience building data products incrementally and integrating and managing datasets from multiple sources

• \tExperience operating a very large data environment that may include data lake, lakehouse, data warehouse, etc.

• \tQuery performance tuning skills using Unix/Linux profiling tools and SQL

• \tExperience with AWS Tools and Technologies (Redshift, S3, EC2, Glue, Lambda, Sage Maker)

• \tExperience creating visual data representations, such as Tableau, PowerBI, QuickSight or other BI platforms

• \tMeets/exceeds Amazon's leadership principles requirements for this role

• \tMeets/exceeds Amazon's functional/technical depth and complexity

Amazon Terms:

Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, educational institutions and governments depend on AWS for secure cloud services and solutions.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.

BASIC QUALIFICATIONS

- 3+ years of data engineering experience

- Experience with data modeling, warehousing and building ETL pipelines

PREFERRED QUALIFICATIONS

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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