Experienced Full Stack Data Engineer – Web & Cloud Application Development for Amazon's Accounting BI Group
About the Role
Are you a highly skilled and motivated data engineer looking for a challenging and rewarding opportunity to join Amazon's Accounting BI Group? Do you have a passion for working with large datasets, developing innovative solutions, and collaborating with cross-functional teams? If so, we encourage you to apply for this exciting role as an Experienced Full Stack Data Engineer – Web & Cloud Application Development.
About the 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 always looking for talented individuals to join our team.
About the Team
The Accounting BI Group is a critical component of Amazon's finance organization, responsible for providing business intelligence and data analytics to support strategic decision-making. Our team is comprised of experienced professionals who are passionate about working with data to drive business outcomes. We are a collaborative and dynamic team that values innovation, creativity, and continuous learning.
Responsibilities
As an Experienced Full Stack Data Engineer – Web & Cloud Application Development, you will be responsible for designing, building, and deploying large-scale data pipelines and applications using Amazon Web Services (AWS) and other cloud-based technologies. Your primary responsibilities will include:
Working with stakeholders and other engineering groups to identify and scope the right data structure and generation for use to facilitate the evaluation of maximum common place Amazon customer behavioral questions.
Partnering with partner engineering groups to enhance data infrastructure, data availability, and wide access to client insights made available via BI tools throughout the company.
Designing, building, and implementing the right ETL methods using AWS and similar technologies.
Implementing anomaly detection structures to have a proactive approach to any potential data quality issues, using business-preferred frameworks.
Enabling big-scale analytics through the use of EMR and other large-data technologies.
Establishing and implementing generation quality practices that should be followed throughout the company.
Working on proof of concepts for the adoption of the latest technologies and tools.
Qualifications
To be successful in this role, you will need to have:
BASIC QUALIFICATIONS
3+ years of data engineering experience.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience with SQL.
Experience with 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).
PREFERRED QUALIFICATIONS
Experience with large data technologies such as: Hadoop, Hive, Spark, EMR.
Experience with large data processing technologies (e.g., Hadoop or Apache Spark), data warehouse technical structure, infrastructure components, ETL, and reporting/analytic tools and environments.
Benefits
As a remote employee of Amazon, you will enjoy a range of benefits, including:
Medical, Dental, and Vision Coverage.
Maternity and Parental Leave Options.
Paid Time Off (PTO).
401(k) Plan.
Why Join Amazon as a Remote Worker?
Joining Amazon as a remote employee offers numerous key advantages, reflecting the company's commitment to fostering a dynamic and inclusive work environment. Some of the exceptional advantages of joining Amazon as a remote employee include:
Flexibility: Remote work gives the power to manage your work schedule and location, taking into account higher work-life stability and the ability to work from any location with a strong internet connection.
Global Opportunities: Amazon's remote work options can open up possibilities to collaborate with various teams and experts from diverse places worldwide, permitting you to interact with an international team of workers and expand your professional network.
Reduced Commute: Eliminating the need for daily travel saves time and decreases the stress related to traveling to and from the office, contributing to improved productivity and overall well-being.
Autonomy and Independence: Remote work regularly promotes an experience of autonomy, permitting personnel to take ownership of their duties and manage their tasks independently while aligning with Amazon's organizational goals and values.
Technology Integration: Amazon provides remote employees with access to modern technology and communication tools, facilitating seamless collaboration and ensuring that remote personnel have the necessary resources to excel in their roles.
Professional Development: Despite working remotely, Amazon emphasizes professional development and growth, offering opportunities for skill-building, education programs, and professional development tasks for its remote team members.
Workplace Wellness: Amazon places significance on employee well-being, offering resources and support for remote employees to maintain a healthy work-life balance and access wellness programs that promote physical and mental well-being.
Collaboration Tools: The company probably provides access to collaborative structures and tools that permit powerful communication, task management, and teamwork, fostering a cohesive remote working environment.
Inclusive Work Culture: Amazon fosters an inclusive work culture that values diversity, equality, and inclusion, ensuring that remote employees have the same opportunities to contribute to the company's mission and success from any location.
Brand Prestige and Culture: Joining Amazon gives the opportunity to be part of a prestigious brand recognized for its innovation, customer-centric approach, and technological advancements, permitting remote employees to contribute to the company's success and impact from a remote setting.
How to Apply
If you are a motivated and experienced data engineer looking for a challenging and rewarding opportunity to join Amazon's Accounting BI Group, please apply through our website. We look forward to hearing from you!
Apply Now
Are you a highly skilled and motivated data engineer looking for a challenging and rewarding opportunity to join Amazon's Accounting BI Group? Do you have a passion for working with large datasets, developing innovative solutions, and collaborating with cross-functional teams? If so, we encourage you to apply for this exciting role as an Experienced Full Stack Data Engineer – Web & Cloud Application Development.
About the 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 always looking for talented individuals to join our team.
About the Team
The Accounting BI Group is a critical component of Amazon's finance organization, responsible for providing business intelligence and data analytics to support strategic decision-making. Our team is comprised of experienced professionals who are passionate about working with data to drive business outcomes. We are a collaborative and dynamic team that values innovation, creativity, and continuous learning.
Responsibilities
As an Experienced Full Stack Data Engineer – Web & Cloud Application Development, you will be responsible for designing, building, and deploying large-scale data pipelines and applications using Amazon Web Services (AWS) and other cloud-based technologies. Your primary responsibilities will include:
Working with stakeholders and other engineering groups to identify and scope the right data structure and generation for use to facilitate the evaluation of maximum common place Amazon customer behavioral questions.
Partnering with partner engineering groups to enhance data infrastructure, data availability, and wide access to client insights made available via BI tools throughout the company.
Designing, building, and implementing the right ETL methods using AWS and similar technologies.
Implementing anomaly detection structures to have a proactive approach to any potential data quality issues, using business-preferred frameworks.
Enabling big-scale analytics through the use of EMR and other large-data technologies.
Establishing and implementing generation quality practices that should be followed throughout the company.
Working on proof of concepts for the adoption of the latest technologies and tools.
Qualifications
To be successful in this role, you will need to have:
BASIC QUALIFICATIONS
3+ years of data engineering experience.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience with SQL.
Experience with 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).
PREFERRED QUALIFICATIONS
Experience with large data technologies such as: Hadoop, Hive, Spark, EMR.
Experience with large data processing technologies (e.g., Hadoop or Apache Spark), data warehouse technical structure, infrastructure components, ETL, and reporting/analytic tools and environments.
Benefits
As a remote employee of Amazon, you will enjoy a range of benefits, including:
Medical, Dental, and Vision Coverage.
Maternity and Parental Leave Options.
Paid Time Off (PTO).
401(k) Plan.
Why Join Amazon as a Remote Worker?
Joining Amazon as a remote employee offers numerous key advantages, reflecting the company's commitment to fostering a dynamic and inclusive work environment. Some of the exceptional advantages of joining Amazon as a remote employee include:
Flexibility: Remote work gives the power to manage your work schedule and location, taking into account higher work-life stability and the ability to work from any location with a strong internet connection.
Global Opportunities: Amazon's remote work options can open up possibilities to collaborate with various teams and experts from diverse places worldwide, permitting you to interact with an international team of workers and expand your professional network.
Reduced Commute: Eliminating the need for daily travel saves time and decreases the stress related to traveling to and from the office, contributing to improved productivity and overall well-being.
Autonomy and Independence: Remote work regularly promotes an experience of autonomy, permitting personnel to take ownership of their duties and manage their tasks independently while aligning with Amazon's organizational goals and values.
Technology Integration: Amazon provides remote employees with access to modern technology and communication tools, facilitating seamless collaboration and ensuring that remote personnel have the necessary resources to excel in their roles.
Professional Development: Despite working remotely, Amazon emphasizes professional development and growth, offering opportunities for skill-building, education programs, and professional development tasks for its remote team members.
Workplace Wellness: Amazon places significance on employee well-being, offering resources and support for remote employees to maintain a healthy work-life balance and access wellness programs that promote physical and mental well-being.
Collaboration Tools: The company probably provides access to collaborative structures and tools that permit powerful communication, task management, and teamwork, fostering a cohesive remote working environment.
Inclusive Work Culture: Amazon fosters an inclusive work culture that values diversity, equality, and inclusion, ensuring that remote employees have the same opportunities to contribute to the company's mission and success from any location.
Brand Prestige and Culture: Joining Amazon gives the opportunity to be part of a prestigious brand recognized for its innovation, customer-centric approach, and technological advancements, permitting remote employees to contribute to the company's success and impact from a remote setting.
How to Apply
If you are a motivated and experienced data engineer looking for a challenging and rewarding opportunity to join Amazon's Accounting BI Group, please apply through our website. We look forward to hearing from you!
Apply Now