Job Location: Seattle, WA
Bachelors or Master’s Degree in Computer Science/Engineering, Information Technology with at least 6+ years of experience in Business Intelligence Applications with following skills.
Excellent knowledge and experience of designing and developing business intelligence 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.
Prior experience and knowledge in writing complex queries and SQL Performance tuning.
Experience of developing visualizations using at least two reporting tools such as Tableau, Quicksight etc.
Ability to understand complex data models that supports structured 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 and engineering teams.
Ability to deal with ambiguities and competing priorities.
Job summary
AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast growing business unit within AWS. We have revolutionized business intelligence system within database, analytics and AI/ML organization to support fast growing business needs. Are you a passionate Business Intelligence Engineer who wants to make a real business impact on a key AWS business?
We are looking for experienced, self-driven 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 data-driven decision-making, and demands timely, accurate, and actionable business insights.
Key Responsibilities:
Design, implement, and support data warehouse / datalake 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 non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc 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 day to day 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.
Key job responsibilities
Contribute to defining business requirements, design and implementation of analytics projects using AWS big data stack, Python, Redshift, Quicksight, Athena etc and take ownership of critical reporting/insights development.
Develop and manage insights, metrics/dashbords 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 non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc 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, Product Engineering teams, Finance, Sales/GTM teams and other stakeholders on need basis to support their new analytics requirements.
Manage numerous requests concurrently and strategically, prioritizing when necessary.
Partner/collaborate across teams/roles to deliver results.
Inclusive Team Culture
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.
Work/Life Balance
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.
Prior experience in AWS stack including Redshift, Quicksight, Athena etc.
Experience with AWS as cloud
Any knowledge/skill on Data Science, AI/ML will be plus
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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