Data Engineer Data Stack

Responsibilities In collaboration with your teammates: Design, develop, test, deploy, maintain, and support production quality code.Understand operational characteristics of production systems, identify abnormalities, and respond to and fix abnormalities. Plan, track, and report on work progress. Accurately estimate stories and tasks considering their level-of-effort, complexity, and uncertainty. Debrief on team performance and make incremental, small changes to support improvements. Celebrate

successes with your team!
Required Skills and Qualifications
Hands on experience and proficiency in a professional product with: Python,Pyspark ,SQL,At least one Big Data Technology (e.g. Hive, Hadoop, Presto, or ...) ETL with Data Lake Architectures, At least one Workflow Technology (e.g. Airflow, or ...) Senior: At least 7 years as a professional application software developer. Senior: At least 3 years in a growth company . Intermediate: At least 4 years as a professional application software developer Intermediate: At least 1 years in a growth company (i.e. annual revenue > $40mm and growing at over 25% per year). Agile development: Scrum and/or Kanban .CI/CD with unit and integration tests .Instrumenting application monitoring and alerting.Technical oncall and observing and using monitoring/alerting dashboards .Aptitude to quickly learn.Proven ability to collaboratively and maturely work on a team.
Nice to Have
Hands on experience in a professional product with: Hive,Presto,Airflow,Quoble, Emarsys (or another email service provider), AWS EC2, RDS, S3, New Relic monitoring and troubleshooting, AWS monitoring and troubleshooting tools
Bonus Points
Bonus points if hands on experience in a professional product with:WS Personalize
Educación mínima: Universitaria / I.P. / C.F.T.
6 años de experiencia
Idiomas: Inglés
Edad: entre 25 y 50 años
Disponibilidad de viajar: No
Disponibilidad de cambio de residencia: No
Personas con discapacidad: Sí