Data Engineer Stores TA
Data Engineer Stores TA
Posted on :
13-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Overview
Amazon strives to be Earths most customercentric company where people can
find and discover virtually anything they want to buy online. By giving customers
more of what they want low prices vast selection and convenience Amazon
continues to grow and evolve as a worldclass ecommerce platform. Amazons
evolution from Web site to ecommerce partner to development platform is driven by
the spirit of innovation that is part of the companys DNA. The worlds brightest
technology minds come to Amazon to research and develop technology that
improves the lives of shoppers and sellers around the world.
Job Description
Are you passionate about designing and building robust data pipelines that power
datadriven insights for business impact Do you thrive in an environment where you
can leverage the latest data engineering technologies to tackle complex challenges
We are seeking a talented Data Engineer to join our Talent Acquisition (TA) team and
help drive our datapowered analytical revolution.
In this role you will be responsible for designing and developing highly efficient data
pipelines that seamlessly extract transform and load data from a diverse array of
sources. You will work closely with our Business Intelligence Data Science and
Product teams to uncover new data sources optimize data delivery and deliver high
quality actionable insights to support our TA initiatives.
Responsibilities:
Design and develop highly efficient data pipelines that seamlessly extract
transform and load data from a diverse array of sources using SQL Python and
AWS big data technologies.
Oversee and continuously enhance production operations optimizing data
delivery redesigning infrastructure for greater scalability managing code
deployments addressing bugs and coordinating overall release management.
Establish and uphold best practices for the design development and support of
data integration solutions including comprehensive documentation.
Collaborate closely with Product teams Data Scientists Software Developers
and Business Intelligence Engineers to uncover new data sources and deliver
highimpact insights.
Demonstrate proficiency in reading writing and debugging data processing and
orchestration code in Python/Scala adhering to the highest coding standards
(e.g. version control code review etc..
Basic qualifications:
Bachelors degree in Computer Science Data Science Engineering or a related
technical field
Minimum 35 years of experience in data engineering or a similar role
Handson experience designing developing and maintaining data pipelines and
data integration solutions
Proficient in SQL Python and AWS big data technologies (e.g. EMR Glue
Athena Redshift)
Strong understanding of data architecture data modeling and ETL/ELT
processes
Experience building/operating highly available distributed systems of data
extraction ingestion and processing of large data sets
Experience with version control systems (e.g. Git) and code review best practices
Exposure to building scalable and faulttolerant data processing systems
Preferred Qualifications:
Advanced experience with cloudnative data engineering tools and platforms
(e.g. Databricks Snowflake Kafka Kinesis)
Proficiency in writing highperformance scalable and maintainable code (e.g.
using design patterns unit testing refactoring)
Familiarity with data streaming and realtime data processing frameworks
Exposure to machine learning and artificial intelligence techniques for data
driven insights
Proven track record of leading data engineering projects from inception to
delivery
Experience in mentoring and training junior data engineers
Demonstrated ability to identify and implement process improvements optimize
data pipelines and enhance overall data infrastructure
Passion for staying uptodate with the latest data engineering trends and
technologies and a willingness to explore new tools and approaches
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Amazon strives to be Earths most customercentric company where people can
find and discover virtually anything they want to buy online. By giving customers
more of what they want low prices vast selection and convenience Amazon
continues to grow and evolve as a worldclass ecommerce platform. Amazons
evolution from Web site to ecommerce partner to development platform is driven by
the spirit of innovation that is part of the companys DNA. The worlds brightest
technology minds come to Amazon to research and develop technology that
improves the lives of shoppers and sellers around the world.
Job Description
Are you passionate about designing and building robust data pipelines that power
datadriven insights for business impact Do you thrive in an environment where you
can leverage the latest data engineering technologies to tackle complex challenges
We are seeking a talented Data Engineer to join our Talent Acquisition (TA) team and
help drive our datapowered analytical revolution.
In this role you will be responsible for designing and developing highly efficient data
pipelines that seamlessly extract transform and load data from a diverse array of
sources. You will work closely with our Business Intelligence Data Science and
Product teams to uncover new data sources optimize data delivery and deliver high
quality actionable insights to support our TA initiatives.
Responsibilities:
Design and develop highly efficient data pipelines that seamlessly extract
transform and load data from a diverse array of sources using SQL Python and
AWS big data technologies.
Oversee and continuously enhance production operations optimizing data
delivery redesigning infrastructure for greater scalability managing code
deployments addressing bugs and coordinating overall release management.
Establish and uphold best practices for the design development and support of
data integration solutions including comprehensive documentation.
Collaborate closely with Product teams Data Scientists Software Developers
and Business Intelligence Engineers to uncover new data sources and deliver
highimpact insights.
Demonstrate proficiency in reading writing and debugging data processing and
orchestration code in Python/Scala adhering to the highest coding standards
(e.g. version control code review etc..
Basic qualifications:
Bachelors degree in Computer Science Data Science Engineering or a related
technical field
Minimum 35 years of experience in data engineering or a similar role
Handson experience designing developing and maintaining data pipelines and
data integration solutions
Proficient in SQL Python and AWS big data technologies (e.g. EMR Glue
Athena Redshift)
Strong understanding of data architecture data modeling and ETL/ELT
processes
Experience building/operating highly available distributed systems of data
extraction ingestion and processing of large data sets
Experience with version control systems (e.g. Git) and code review best practices
Exposure to building scalable and faulttolerant data processing systems
Preferred Qualifications:
Advanced experience with cloudnative data engineering tools and platforms
(e.g. Databricks Snowflake Kafka Kinesis)
Proficiency in writing highperformance scalable and maintainable code (e.g.
using design patterns unit testing refactoring)
Familiarity with data streaming and realtime data processing frameworks
Exposure to machine learning and artificial intelligence techniques for data
driven insights
Proven track record of leading data engineering projects from inception to
delivery
Experience in mentoring and training junior data engineers
Demonstrated ability to identify and implement process improvements optimize
data pipelines and enhance overall data infrastructure
Passion for staying uptodate with the latest data engineering trends and
technologies and a willingness to explore new tools and approaches
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
