Data Engineer
Full Time
Onsite
Job description
What is the Amazon Marketplace?
Amazon is the largest marketplace on earth. Millions of customers shop in Amazon’s marketplaces globally. Every day, customers browse, purchase, and review products sold by third-party (3P) sellers right alongside products sold by Amazon. Since 2000, Amazon welcomes companies of all sizes to offer their products, helping them reach hundreds of millions of customers, build their brands, and grow their business.
What is Amazon Strategic Account Services (SAS)?
With increasing complexity of today’s eCommerce and rise of opportunities, the SAS Team aims to leverage the full potential of each Amazon selling partner. Our team provides in-depth strategic consultancy using a data-driven, collaborative, and customer-focused approach to achieve commercial goals of our sellers.
What is the role of a Data Engineer?
As a Data Engineer, you'll build and maintain the robust foundations that power our data-driven organization. You'll design and implement scalable, secure, and efficient data architectures with a strong focus on data quality and governance. Working with technologies in cloud computing and big data, you'll create reliable data pipelines and establish data standards that ensure the integrity and accessibility of our data products. Your focus on building maintainable solutions and establishing strong data governance frameworks will create the trusted data foundation that enables advanced analytics and machine learning capabilities across our organization
Key job responsibilities
The candidate for this role will be required to:
• Design and implement complex data pipelines and models
• Develop new data processing patterns and frameworks
• Drive end-to-end delivery of scalable data solutions
• Optimize performance and reliability of data infrastructure
• Lead technical design and implementation
• Create robust data quality and monitoring solutions
• Mentor junior team members in data engineering
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Amazon is the largest marketplace on earth. Millions of customers shop in Amazon’s marketplaces globally. Every day, customers browse, purchase, and review products sold by third-party (3P) sellers right alongside products sold by Amazon. Since 2000, Amazon welcomes companies of all sizes to offer their products, helping them reach hundreds of millions of customers, build their brands, and grow their business.
What is Amazon Strategic Account Services (SAS)?
With increasing complexity of today’s eCommerce and rise of opportunities, the SAS Team aims to leverage the full potential of each Amazon selling partner. Our team provides in-depth strategic consultancy using a data-driven, collaborative, and customer-focused approach to achieve commercial goals of our sellers.
What is the role of a Data Engineer?
As a Data Engineer, you'll build and maintain the robust foundations that power our data-driven organization. You'll design and implement scalable, secure, and efficient data architectures with a strong focus on data quality and governance. Working with technologies in cloud computing and big data, you'll create reliable data pipelines and establish data standards that ensure the integrity and accessibility of our data products. Your focus on building maintainable solutions and establishing strong data governance frameworks will create the trusted data foundation that enables advanced analytics and machine learning capabilities across our organization
Key job responsibilities
The candidate for this role will be required to:
• Design and implement complex data pipelines and models
• Develop new data processing patterns and frameworks
• Drive end-to-end delivery of scalable data solutions
• Optimize performance and reliability of data infrastructure
• Lead technical design and implementation
• Create robust data quality and monitoring solutions
• Mentor junior team members in data engineering
BASIC QUALIFICATIONS
- Bachelor's degree- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
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