Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important?
Ring's Data Science and Engineering Team is looking for an experienced Data Engineer who is passionate about building products and platform capabilities to support our business analysts, data scientists, and other product and tech teams at Ring.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture, and big data solutions. You should have strong business judgment, excellent written and verbal communication skills.
Key job responsibilities:
Building/Improving/Maintaining frameworks or tools for internal team and external stakeholder usage to manage data. Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools. Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates. Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams. BASIC QUALIFICATIONS
1+ years of data engineering experience. Experience with data modeling, warehousing, and building ETL pipelines. 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 big data technologies such as Hadoop, Hive, Spark, EMR. Experience with any ETL tool like Informatica, ODI, SSIS, BODI, Datastage, etc. 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
this link
for more information. Posted:
January 31, 2025 (Updated about 18 hours ago) Amazon 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.
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Ring's Data Science and Engineering Team is looking for an experienced Data Engineer who is passionate about building products and platform capabilities to support our business analysts, data scientists, and other product and tech teams at Ring.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture, and big data solutions. You should have strong business judgment, excellent written and verbal communication skills.
Key job responsibilities:
Building/Improving/Maintaining frameworks or tools for internal team and external stakeholder usage to manage data. Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools. Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates. Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams. BASIC QUALIFICATIONS
1+ years of data engineering experience. Experience with data modeling, warehousing, and building ETL pipelines. 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 big data technologies such as Hadoop, Hive, Spark, EMR. Experience with any ETL tool like Informatica, ODI, SSIS, BODI, Datastage, etc. 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
this link
for more information. Posted:
January 31, 2025 (Updated about 18 hours ago) Amazon 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.
#J-18808-Ljbffr
