Business Intelligence Engineer

Key Skills

Java Programming, Python Programming, C++, SQL, AWS, QlikView, Tableau, Amazon RedShift, Amazon Elastic Compute Cloud-EC2, Objective-C, QuickSight

Job Description

Job summary

At Amazon, Security is our highest priority. The Security team is responsible for the security of services offered by Amazon. The Secure all the Things (SAT2) team is responsible for driving innovative enhancements that raise the bar for how employees interact with resources, systems, and data. At scale, we must invent new security tools to enable system administrators and developers to build rapidly, while maintaining least privileged access.

The successful candidate is one who loves working with engineering and business teams across an entire organization to understand their needs, and work with data professionals to design and build solutions that enable our teams to more quickly and effectively access our data. You are passionate about the data and you want to solve real business problems.

Our programs and services protect the AWS cloud for all customers and preserve our customers’ trust in us. You’ll get to use the full power and breadth of Amazon technologies to build solutions that protect every single Amazon customer, both internally and externally, from security threats – not many teams can say that!

Key job responsibilities

Who you are: You are a creative, collaborative person who likes to be close to the details. You dig in with technical teams to innovate and build solutions to meet goals. You will own the automation of the authoritative datasets that facilitate business analysis and track business performance. You have a track record of using those datasets and insights to work directly with business and product teams to drive change within your business. You will work with owners and program managers to translate ambiguous situations into technical implementations that deliver business recommendations that exceed the expectation of your business partners. You understand that automation is key to your success. You recognize that there is a balance between the construction of new insights versus delivering automation for others to construct new insights. Delivering tools that your team can use to perform analysis and replicate findings, allows you to scale business analysis to subject matter experts and expedites your ability to continuously deliver automated metrics and insights. We want you because you have a relentlessly high bar when solving hard data-driven problems at scale and relish the opportunity to challenge the norm.

About the team

The Foundational Security Data Solutions Team owns the Amazon Security Data Library. This is a centralized data repository for hosting accurate and complete security data critical to the security posture of Amazon ecosystem.

Inclusive Team Culture

Here at Amazon, 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.

BASIC QUALIFICATIONS

• Bachelor’s Degree in Engineering, Mathematics, or related field, or equivalent professional experience
• 5+ years of experience in Data Engineering, BI Engineer, or related field in Architecting and developing end to end scalable data applications and data pipelines.
• 3+ years experience in Business Intelligence
• Advanced knowledge of SQL, shell scripting,
• Python/R, and MS excel.
• 3+ years collaborating across teams and communication updates to stakeholders/executives
• Experience with at least one scripting language (e.g. Python, Java, C++)
• Experience delivering automated reports using reporting or data visualization tools such as Tableau, Business Objects, QlikView, Quicksight, or Microstrategy
• Experience designing and working with engineers to build analytics reporting services for production environments
• Strong understanding of BI technologies and their application including datawarehousing and dashboarding
• Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Computer Science and Data Science fundamentals: data structures, algorithms, problem solving, and complexity analysis

PREFERRED QUALIFICATIONS

• Master's degree in Math/Statistics/Engineering or other equivalent quantitative discipline.
• 8+ years in relevant experience as data scientist, software engineer, business intelligence engineer, or equivalent.
• Experience using AWS technologies such as EC2, S3, Redshift, EMR, Glue, Athena, and SageMaker
• Familiarity with security data and posture
• Experience delivering a system that delivers an integrated experience across real-time and batch insights
• Experience conducting data analysis that cannot be conducted on a single host
• Self-driven leader that delivers with minimal project definition and incomplete or dirty data
• Proficient at drawing insights from data and communicating analyses that affect business prioritization.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.