Job Description: In this role, you’ll be working in a data engineering team belonging to Analytics Center of Excellence (ACOE) and working on Experian Ascend Platform. You’ll be managing data at scale and working on key initiatives such as Data Productizations where we employ different big data technologies and back/front ends to build solutions for our clients. Additional responsibilities include:
•Designing, building and launching data pipelines in our Dedicated Sandbox environment
•Partner with technical/product management/infrastructure teams to build shared goals
•Build relationships with Data Engineers, Data Scientists, Product Managers and Non-technical people to understand and satisfy data needs
•Assist and provide technical support to ACOE team and Decision Analytics organization
•Meet SLA’s for internal user support
•Manage the delivery of data, reports and or data visualizations
•Provide support on productization of Analytics and new solutions developed and brought from the ACOE team
•Help on developing talent inside and outside your team regarding the use of Big data technologies
Desired skills and experience:
•Previous experience in a high-performing, large-scale technology company
•Experience in teams that work on large scale data infrastructure in an Agile environment
•Experience in data warehouse technologies, data modeling and ETL development
•Minimal tech requirements: Programming languages such as Python, SQL, R, Scala, SAS; Big data technologies such as Hadoop, Hive, Spark; Visualization tools such as Tableau, Dash; Cloud experience (AWS preferred)
•Bachelor’s degree in Engineering, Computer Science, or related field
Desired skills and experience:
•Previous experience in a high-performing, large-scale technology company
•Experience in teams that work on large scale data infrastructure in an Agile environment
•Experience in data warehouse technologies, data modeling and ETL development
•Minimal tech requirements: Programming languages such as Python, SQL, R, Scala, SAS; Big data technologies such as Hadoop, Hive, Spark; Visualization tools such as Tableau, Dash; Cloud experience (AWS preferred)
•Bachelor’s degree in Engineering, Computer Science, or related field
Educación mínima: Universitaria / I.P. / C.F.T.
Años de experiencia: 3
Idiomas: Inglés
Disponibilidad de viajar: No
Disponibilidad de cambio de residencia: No
Licencia de conducir B o mejor
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