Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records a day in a scalable manner using AWS technologies? Do you want to build the next-generation system for intuitive data access?
Amazon Web Services (AWS) has been leading the world into the cloud computing era since its inception in 2006. The AWS Partner Network (APN) is the vital ecosystem we have created with our tens of thousands of consulting and technology partners, to promote AWS in every industry, every size of company, and every region of the world. APN offerings include validating partner qualifications in distinct areas, lead/opportunity sharing, training and certifications, marketing assistance, funding reimbursement, et al. The AWS Partner Systems team is responsible for external and internal supporting Partner Sales, the APN, and other elements driving the AWS partner ecosystem. We serve three groups of stakeholders: partners who work with us to sell AWS, customers who use AWS, and internal users responsible for driving AWS sales and adoption via partners.
As a Sr. Data Engineer, we expect you to have expertise with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You are expected to have experience with design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
Key job responsibilities
Design, implement, and support a platform providing secured access to large datasets
Interface with customers, gathering requirements and delivering end-to-end BI solutions
Model data and metadata to support ad-hoc and pre-built reporting
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Tune application and query performance using profiling tools and SQL
Analyze and solve problems at their root, stepping back to understand the broader context
Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use
Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS services
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets
Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
- 5+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
Degree in Computer Science, Engineering, Mathematics, or a related field or 5+ years industry experience.
Experience with Big Data technologies such as Hive/Spark, AWS EMR, AWS Glue, AWS Lambda , Kinesis, Redshift.
Experience leading and influencing the data strategy of your team or organization
Master’s or Bachelor degree in Computer Science, Engineering, or related field
Industry experience as a Sr Data Engineer or related speciality (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience building data products incrementally and integrating and managing datasets from multiple sources
Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, etc.
Knowledge of Engineering and Operational Excellence using standard methodologies.
Ability to work on a diverse team or with a diverse range of coworkers
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 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 16 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.
Mentorship & Career Growth
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.
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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.