Cloud Data Engineer
Milan, Lombardia, Italy
Metyis
We are a dynamic and forward-thinking consultancy firm that operates across a wide range of industries, creating solutions that are tailored to specific needs. We bring long-lasting impact and growth to our partners and clients. We are Metyis....We are looking for a Cloud Data Engineer with experience of 2+ years in managing Big Data environments.
Requirements
Who we are:
We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing, and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities dedicated to creating long-lasting impact and growth for our business partners and clients.
This year, we initiated a long-term partnership with a major business partner in the insurance and telematics industry in Italy to tackle new products, data monetisation, governance strategies, cost optimisation, and HR strategy projects.
We are excited to help our business partner build internal capabilities with a winning team that will contribute to the company's growth and success."
What we offer:
- Work in multidisciplinary teams and learn from motivated colleagues.
- A chance to take responsibility for your work, develop yourself daily, and fully own your career.
- Become part of a fast-growing and diverse team.
What you will do:
- Support in the design and technical solutioning of data applications
- Management and administration of platform services (Big Data & API Layer)
- Coordination of the consulting team
What you’ll bring:
- The ideal candidate has at least 2-3 years of prior experience in managing Big Data environments.
- Coordination of Big Data projects with management of the team of analysts and development team.
- Knowledge of the main Big Data modules (HDFS, Ni-Fi, Sqoop, Spark, Hbase, Solr, Kafka, Impala, Hive, Kudu, MongoDB)
- Administration of data platform application services (Cloudera/Databricks/AWS)
- Knowledge in manipulation, extraction, and transformation of structured and unstructured databases
- Ability to manage complex projects
- Excellent relational skills
- Teamwork attitude
- Autonomy and problem-solving skills
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Big Data Consulting Databricks HBase HDFS Kafka MongoDB Spark
Perks/benefits: Career development
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