Amazon
Data Engineer, AR - Manipulation
Amazon, Westborough, Massachusetts, us, 01581
Job ID: 2792334 | Amazon.com Services LLCAmazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. Our Org in the Amazon Robotics is responsible for Manipulation programs which is at the forefront of building automation products for manipulating packages and individual items in our fulfillment centers. We are looking for an experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS tech stack and other suitable Data Engineering technologies. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with best practices and direction.Key job responsibilities
Design, implement, and deploy data solutions that are high quality (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporate best practices.Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve data architecture, making it better and easier to maintain.Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.Mentor other engineers, influence positively team culture, and help grow the team.A day in the life
As a data engineer in the Robotics Manipulation Org, your day is filled with the challenge of optimizing data flows across multiple systems. You start by reviewing KPIs, uncovering insights to drive performance improvements. Working closely with software and ML teams, you streamline data pipelines and feature engineering, ensuring high-quality, real-time information fuels the models powering the robots. Whether automating workflows or conducting in-depth analytics, your expertise directly contributes to the advancement of these cutting-edge programs. In this fast-paced, dynamic environment, you collaborate on innovative solutions, leverage the latest technologies, and make a tangible impact through your data-driven approach.BASIC QUALIFICATIONS
3+ years of data engineering experience2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceKnowledge of distributed systems as it pertains to data storage and computingExperience with data modeling, warehousing and building ETL pipelinesExperience working on and delivering end to end projects independentlyExperience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, RubyExperience with Redshift, Oracle, NoSQL etc.PREFERRED QUALIFICATIONS
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data setsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Posted:
November 19, 2024 (Updated about 5 hours ago)
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Design, implement, and deploy data solutions that are high quality (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporate best practices.Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve data architecture, making it better and easier to maintain.Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.Mentor other engineers, influence positively team culture, and help grow the team.A day in the life
As a data engineer in the Robotics Manipulation Org, your day is filled with the challenge of optimizing data flows across multiple systems. You start by reviewing KPIs, uncovering insights to drive performance improvements. Working closely with software and ML teams, you streamline data pipelines and feature engineering, ensuring high-quality, real-time information fuels the models powering the robots. Whether automating workflows or conducting in-depth analytics, your expertise directly contributes to the advancement of these cutting-edge programs. In this fast-paced, dynamic environment, you collaborate on innovative solutions, leverage the latest technologies, and make a tangible impact through your data-driven approach.BASIC QUALIFICATIONS
3+ years of data engineering experience2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experienceKnowledge of distributed systems as it pertains to data storage and computingExperience with data modeling, warehousing and building ETL pipelinesExperience working on and delivering end to end projects independentlyExperience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, RubyExperience with Redshift, Oracle, NoSQL etc.PREFERRED QUALIFICATIONS
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data setsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Posted:
November 19, 2024 (Updated about 5 hours ago)
#J-18808-Ljbffr