Servicios Comerciales Amazon Mexico
Technology
DataEngineerII,DASHDeviceOperations
“Data Engineer II, DASH Device Operations at Servicios Comerciales Amazon Mexico. Skills: Data Engineering, AI/ML, Data Infrastructure, ETL/ELT. Design data pipelines. Implement data pipelines”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
Bachelor's degree in quantitative/technical field, 4+ years data engineering experience, 4+ years Python/Java/Bash/Perl experience, Experience writing complex SQL queries, Experience in data warehouse architectures, Experience in data modeling, Experience in ETL/ELT processes, Experience in reporting/analytic tools, Experience with data structures, Hands-on SQL coding experience, Experience in Redshift, Experience in Hive/Spark/Hbase/Yarn, Experience in Kafka, Experience with AWS services, Knowledge of distributed systems
Nice to Have
Master's degree in engineering/statistics/CS, Experience with Elastic-Search, Experience with Big Data EMR/EC2/Glue/Lambda, Experience training ML systems, Experience deploying ML systems, Experience with infrastructure as code, Experience with ops automation, Experience with configuration management tools, Experience communicating with users, Experience communicating with technical teams, Experience communicating with management, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Experience debugging systems, Experience profiling systems, Experience implementing best software engineering practices, Knowledge of software engineering best practices, Knowledge of agile methodologies, Knowledge of coding standards, Knowledge of code reviews, Knowledge of source management, Knowledge of build processes, Knowledge of testing, Knowledge of operations
What You'll Do.
Design data pipelines
Implement data pipelines
Operate data pipelines
Build data infrastructure
Maintain data infrastructure
Interface with technology teams
Implement data models
Implement ETL/ELT processes
Build data integration pipelines
Partner with scientists
Partner with application engineers
Interface with business customers
Deliver data solutions
Evaluate dataset designs
Evaluate pipeline architectures
Produce dataset documentation
Produce data lineage artifacts
Mentor junior data engineers
Ingest from operational systems
Design warehouse schemas
Optimize infrastructure
Enable AI/ML capabilities
Collaborate with scientists
Collaborate with BI engineers
Collaborate with application developers
Design real-time CDC pipelines
Enable agent data query
How You'll Work.
Team & Collaboration
Partner teams; Cross-functional teams; Scientists; Application engineers; Business customers; Peer engineers; BI engineers; Human analysts; Intelligent agents
Process & Methodology
Agile methodologies
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