Big Data engineer
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Role details
Tech stack
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Job description
In our team, you will work in a Managed Service focused on extracting value from data to fight fraud carrying out:
- Design, development, and maintenance of real-time streaming data processes.
- Design and implementation of data governance to protect valuable information.
- Extraction of insights from large volumes of data.
- Access control for the customer’s analyst users.
- Teamwork under agile methodologies.
Requirements
Do you have experience in Spark?, For this position, we are looking for data professionals focused on data & analytics, with experience in the design, development, and maintenance of data processes, especially in big data and streaming environments.
Knowledge of data governance, data quality, analytics, and tools such as Cloudera, Spark, Kafka, NiFi, IBM Cognos, Business Objects, and Oracle will be valued. Experience in fraud prevention is highly desirable.
Benefits & conditions
Pulled from the full job description
- Dental insurance, Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.
Flexible start and finish times, and intensive working hours Fridays and in summer.
Personalized career plan development, training and language learning support.
National and international mobility. Do you come from another country? We can offer you a relocation package.
Competitive compensation with ongoing reviews, flexible compensation and discount on brands.
Wellbeing program: Health, dental and accident insurance; free fruit and coffee, physical, mental and financialhealth training, and much more!
- ️ In our recruitment processes you will always have telephone and personal contact, face-to-face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at privacy@gmv.com
️We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.
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