Experienced Remote Data Engineer – Amazon Work From Home Opportunity with Competitive Salary and Benefits
Introduction to Amazon and the Role
Amazon, the world's most customer-centric company, has been revolutionizing the way people shop and live for over two decades. With a customer base of over 300 million worldwide, Amazon has become synonymous with convenience, selection, and price. As a leader in e-commerce, Amazon is constantly innovating and expanding its services, including Amazon Pay, which enables millions of customers to securely buy from third-party websites using their Amazon account information. We are now seeking an experienced Data Engineer to join our team and play a key role in driving automation for Amazon Pay Corporation.
About the Position
In this role, you will be part of the Data Engineering group, responsible for envisioning, building, and delivering high-performance, fault-tolerant data pipelines. As a Data Engineer, you will work closely with cross-functional partners from technology, product, SDEs, operations, and management to translate raw data into actionable insights for stakeholders, empowering them to make data-driven decisions. Your expertise will be crucial in leading information engineering efforts to drive automation for Amazon Pay Corporation.
Key Responsibilities
Design, implement, and support a platform offering ad-hoc access to large data sets
Interface with different technology groups to extract, transform, and load data from a wide variety of data assets
Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies
Model data and metadata for ad-hoc and pre-built reporting
Interface with business clients, collecting requirements and delivering complete reporting solutions
Build strong and scalable data integration (ETL) pipelines using SQL, Python, and Spark
Build and deliver high-quality data sets to support business analysts, data scientists, and customer reporting needs
Continuously improve ongoing reporting and analysis techniques, automating or simplifying self-service support for clients
About the Team
The Amazon Pay Data Engineering and Analytics team's mission is to transform raw data into actionable insights. We achieve this by providing a single source of truth, standardized metrics, reporting with deep dive capabilities, producing ML models, and actionable insights that help perceive growth opportunities and drive the Amazon pay flywheel. As a member of this team, you will be working with a talented group of professionals who are passionate about data engineering and analytics.
Essential Qualifications
3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with SQL
Experience with big data technology, including: Hadoop, Hive, Spark, EMR
Experience in at least one modern scripting or programming language, including Python, Java, Scala, or Node.js
Desired Qualifications
Experience with AWS technology, such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)
Skills and Competencies
To be successful in this role, you will need to possess a combination of technical, business, and interpersonal skills. These include:
Strong technical skills in data engineering, including data modeling, ETL, and data warehousing
Experience with big data technologies, such as Hadoop, Spark, and NoSQL databases
Strong programming skills in languages such as Python, Java, or Scala
Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams
Strong problem-solving skills, with the ability to analyze complex data sets and identify insights
Ability to work in a fast-paced environment, with a focus on delivering high-quality results
Career Growth Opportunities and Learning Benefits
At Amazon, we are committed to helping our employees grow and develop their careers. As a Data Engineer, you will have access to a wide range of training and development opportunities, including:
Technical training and certification programs
Leadership development programs
Mentorship and coaching from experienced professionals
Opportunities to work on high-impact projects and contribute to the development of new technologies
Work Environment and Company Culture
At Amazon, we are proud of our unique and dynamic company culture. We are a customer-obsessed organization that is passionate about innovation and excellence. As a remote employee, you will be part of a global team that is connected by our shared values and goals. We offer a flexible and supportive work environment that allows you to work from anywhere, at any time, as long as you have a reliable internet connection.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including:
Competitive hourly rate of $30/hour
Comprehensive health insurance
Retirement savings plan
Paid time off and holidays
Access to exclusive employee discounts and perks
Conclusion
If you are a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a member of our team, you will have the chance to work on high-impact projects, develop your skills and career, and contribute to the success of Amazon Pay. Don't miss out on this opportunity to join our dynamic and innovative team – apply now and take the first step towards an exciting and rewarding career with Amazon!
Are you ready for this challenge? Apply now and let's discuss how you can become a vital part of our success story.
Apply Now
Apply Now
Amazon, the world's most customer-centric company, has been revolutionizing the way people shop and live for over two decades. With a customer base of over 300 million worldwide, Amazon has become synonymous with convenience, selection, and price. As a leader in e-commerce, Amazon is constantly innovating and expanding its services, including Amazon Pay, which enables millions of customers to securely buy from third-party websites using their Amazon account information. We are now seeking an experienced Data Engineer to join our team and play a key role in driving automation for Amazon Pay Corporation.
About the Position
In this role, you will be part of the Data Engineering group, responsible for envisioning, building, and delivering high-performance, fault-tolerant data pipelines. As a Data Engineer, you will work closely with cross-functional partners from technology, product, SDEs, operations, and management to translate raw data into actionable insights for stakeholders, empowering them to make data-driven decisions. Your expertise will be crucial in leading information engineering efforts to drive automation for Amazon Pay Corporation.
Key Responsibilities
Design, implement, and support a platform offering ad-hoc access to large data sets
Interface with different technology groups to extract, transform, and load data from a wide variety of data assets
Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies
Model data and metadata for ad-hoc and pre-built reporting
Interface with business clients, collecting requirements and delivering complete reporting solutions
Build strong and scalable data integration (ETL) pipelines using SQL, Python, and Spark
Build and deliver high-quality data sets to support business analysts, data scientists, and customer reporting needs
Continuously improve ongoing reporting and analysis techniques, automating or simplifying self-service support for clients
About the Team
The Amazon Pay Data Engineering and Analytics team's mission is to transform raw data into actionable insights. We achieve this by providing a single source of truth, standardized metrics, reporting with deep dive capabilities, producing ML models, and actionable insights that help perceive growth opportunities and drive the Amazon pay flywheel. As a member of this team, you will be working with a talented group of professionals who are passionate about data engineering and analytics.
Essential Qualifications
3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with SQL
Experience with big data technology, including: Hadoop, Hive, Spark, EMR
Experience in at least one modern scripting or programming language, including Python, Java, Scala, or Node.js
Desired Qualifications
Experience with AWS technology, such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)
Skills and Competencies
To be successful in this role, you will need to possess a combination of technical, business, and interpersonal skills. These include:
Strong technical skills in data engineering, including data modeling, ETL, and data warehousing
Experience with big data technologies, such as Hadoop, Spark, and NoSQL databases
Strong programming skills in languages such as Python, Java, or Scala
Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams
Strong problem-solving skills, with the ability to analyze complex data sets and identify insights
Ability to work in a fast-paced environment, with a focus on delivering high-quality results
Career Growth Opportunities and Learning Benefits
At Amazon, we are committed to helping our employees grow and develop their careers. As a Data Engineer, you will have access to a wide range of training and development opportunities, including:
Technical training and certification programs
Leadership development programs
Mentorship and coaching from experienced professionals
Opportunities to work on high-impact projects and contribute to the development of new technologies
Work Environment and Company Culture
At Amazon, we are proud of our unique and dynamic company culture. We are a customer-obsessed organization that is passionate about innovation and excellence. As a remote employee, you will be part of a global team that is connected by our shared values and goals. We offer a flexible and supportive work environment that allows you to work from anywhere, at any time, as long as you have a reliable internet connection.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including:
Competitive hourly rate of $30/hour
Comprehensive health insurance
Retirement savings plan
Paid time off and holidays
Access to exclusive employee discounts and perks
Conclusion
If you are a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a member of our team, you will have the chance to work on high-impact projects, develop your skills and career, and contribute to the success of Amazon Pay. Don't miss out on this opportunity to join our dynamic and innovative team – apply now and take the first step towards an exciting and rewarding career with Amazon!
Are you ready for this challenge? Apply now and let's discuss how you can become a vital part of our success story.
Apply Now
Apply Now