AWS Databases Analytics and AI/ML Products and Services is one of the largest and fastgrowing business unit within AWS. We are working to rebuild and revolutionize data engineering and business intelligence systems within database analytics and AI/ML organization to support fast growing business needs.
We are looking for experienced selfdriven Data Engineer. 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. You will provide guidance and support for other engineers with industry best practices and direction. Amazon Web Services (AWS) has culture of datadriven decisionmaking and demands timely accurate and actionable business insights.
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.
Key job responsibilities
Design implement and support data warehouse / data lake infrastructure using AWS big data stack Python Redshift QuickSight Glue/lake formation EMR/Spark/Scala Athena etc.
Develop and manage ETLs to source data from various commercial sales and operational systems and create unified data model for analytics and reporting.
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.
Develop deep understanding of vast data sources and know exactly how when and which data to use to solve particular business problems.
Work with Product Managers Finance Service Engineering Teams and Sales Teams on daytoday basis to support their new analytics requirements.
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
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.
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.
Mentorship and 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.
Diverse Experiences
Amazon 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.
Bachelors or Masters Degree in Computer Science/Engineering Information Technology with at least 6 years of experience in Data Engineering Applications with following skills:
Excellent knowledge and experience of designing and developing data engineering systems from grounds up and maintaining/supporting existing systems.
Excellent knowledge of ETL tools and various data processing techniques
Excellent knowledge of data warehousing and big data design and concepts
Experience in dealing with large and complex data sets and performance tuning
Experience in designing data models that supports structures and unstructured data
Experience in gathering requirements and formulating business metrics for reporting
Strong verbal/written communication & presentation skills including an ability to effectively communicate with business: technical and technical teams.
Ability to deal with ambiguities and competing priorities.
Prior experience in AWS stack including Glue Crawler Glue Catalog Glue Pipelines Lake Formation Redshift QuickSight EMR/Hive Spark Scala
Prior experience in programming using Python
Experience with AWS as cloud
AWS certification will be plus.
Any knowledge/skill on Data Science AI/ML will be plus
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.