Especialista Big Data
Location São PauloFULL_TIME
Consultant Tatiana Chebat
Date posted 12 de Fevereiro de 2019 2019-02-122019-03-15 it São Paulo BR BRL 10000 12000 12000 MONTH Robert Walters https://www.robertwalters.com.br
Empresa multinacional espanhola busca um Especialista Big Data para trabalhar com implementação de novos projetos
- Design and implement end-to-end Big Data projects (delivery position).
- Evaluates and defines data integration strategy, building data flow and component architecture blueprints.
- End-to-end Proof of Concept (PoC) activities.
- Support pre-sales activities on solution design, including hardware and sizing definitions.
- Execute and lead installation processes, configuration and tunings of Hadoop Big Data clusters.
- Performance analysis of Hadoop platforms, tuning of application and components.
- Analysis, planning and execution of massive data migrations.
- Planning and execution of expansions and new component installations.
- Technical advisory for software developers, including software framework and development practice definitions, code reviews.
- Hands-on professional to lead and materialize all technical aspects of big data projects.
- Interdisciplinary knowledge in IT, covering development and infrastructure for integrated problem solving.
- Advisory profile in the areas of BI, Data Warehousing, Application Integration, Cloud infrastructure and Big Data platforms (more than one is desirable)
- Solid knowledge of architecture standards and ease of absorbing new technologies
• Mandatory Qualifications:
- Solid Hadoop platform knowledge, including Spark, Mapreduce, Hive and HBASE.
- Solid knowledge of Unix / Linux operating systems;
- Solid knowledge in hardware design, network architectures, TCP / IP, DNS, Firewalls;
- Solid knowledge in Shell and SQL languages;
- Solid knowledge in Java, Python, or Scala (more than one is desirable);
- Solid knowledge in Data Modeling, Data Warehousing and MPP databases (Greenplum, Teradata, Netezza);
- Solid conceptual knowledge of NoSQL and practical in some solution (Hbase, Cassandra, Riak, Redis, MongoDB, etc).