Experienced Full Stack Data Engineer – Business Intelligence and Cloud Application Development

Are you a highly motivated and analytical individual with a passion for data engineering and business intelligence? Do you thrive in a fast-paced environment and enjoy working with ambiguity and complex data structures? If so, we may have the perfect opportunity for you. As a Full Stack Data Engineer on our Accounting BI team, you will play a critical role in helping us drive business growth and innovation through the development of cutting-edge data solutions.

About Our Company

Amazon is a global leader in e-commerce, cloud computing, and artificial intelligence. Our mission is to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online. We are committed to innovation, customer obsession, and operational excellence, and we are constantly looking for talented individuals to join our team.

Job Summary

As a Full Stack Data Engineer on our Accounting BI team, you will be responsible for designing, building, and implementing data solutions that drive business growth and innovation. You will work closely with stakeholders and engineering teams to identify and scope data structures and technologies that facilitate the evaluation of key business questions. You will also partner with associate engineering teams to improve data infrastructure, data availability, and access to customer insights through business intelligence tools.

Key Responsibilities

* Work with stakeholders and engineering teams to identify and scope data structures and technologies that facilitate the evaluation of key business questions

• Partner with associate engineering teams to improve data infrastructure, data availability, and access to customer insights through business intelligence tools
• Design, build, and implement data solutions using AWS and other cloud technologies
• Implement anomaly detection systems to proactively identify potential data quality issues using business intelligence frameworks
• Enable big-scale analytics using EMR and other big data technologies
• Establish and implement technology best practices that should be followed across the organization
• Work on proof of concepts for the adoption of new technologies and tools

Essential Qualifications

* 3+ years of experience in data engineering

• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with SQL and one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting languages (e.g., Python, KornShell)
• Experience with big data technologies such as Hadoop, Hive, Spark, EMR

Preferred Qualifications

* Experience with big data processing technologies (e.g., Hadoop or Apache Spark)

• Experience with data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments

Skills and Competencies

* Strong analytical and problem-solving skills

• Excellent communication and collaboration skills
• Ability to work in a fast-paced environment and adapt to changing priorities
• Strong technical skills in data engineering and business intelligence
• Experience with cloud technologies such as AWS
• Experience with big data technologies such as Hadoop, Hive, Spark, EMR

Career Growth Opportunities and Learning Benefits

At Amazon, we are committed to helping our employees grow and develop their careers. We offer a range of training and development programs, including:

• On-the-job training and mentorship
• Online courses and tutorials
• Conferences and workshops
• Opportunities for advancement and promotion

Work Environment and Company Culture

Amazon is a dynamic and fast-paced work environment that is committed to innovation and customer obsession. We are a company that values diversity, equity, and inclusion, and we are committed to creating a workplace that is welcoming and inclusive for all employees.

Compensation, Perks, and Benefits

We offer a competitive salary and benefits package, including:

• Salary: $30-40/hour
• Benefits: Our benefits can vary by location, the number of often scheduled hours you work, and the length of time you've worked for us. They also depend on your job status, including seasonal or temporary employment.
• Health insurance: Our scientific plan options allow you to select the right insurance for you and your eligible family members. You can choose from multiple plans, including a health savings account (with employee and company contributions), and more than one network vendor for high-quality care in your area.
• Dental and vision plans: You can also sign up for dental and vision plans and a flexible spending account for health and structured care.
• 401(k): Our plan helps you to defer repayment in your long-term savings and includes a company match. The plan offers many funding options to help you achieve your goals.
• Company-paid basic life and accidental death and dismemberment insurance: You can sign up for additional insurance for you and your dependents.
• Company-paid short-term and long-term disability insurance.
• Paid time off: We provide a number of completely paid maternity and parental leave options for parents before and after the birth or adoption of a child. This includes our Leave Share option. We also have a flexible software called Ramp Back to help you when you return to work. Parental leave requires a minimum of 365 days of continuous service through the date of a child's birth or adoption (part-time leaves do not require tenure).
• Employee discount

If you are a motivated and analytical individual with a passion for data engineering and business intelligence, we encourage you to apply for this exciting opportunity. Apply for this job