В офис Java architect (training to bigdata solution architect)


Well-known member
EPAM, a leading global software engineering and IT consulting provider with 13 200+ passionate Engineers, Designers and Consultants, invites motivated, self-organized and ambitious engineers to become a part of our BigData Solution Practice.

We’re looking for an experienced Java Architect to join our EU Big Data pre-sales team. As a BigData Solution Architect, you will be continuously involved into pre-sales, R&D and POC activities for EPAM prospect customers.

We provide training in BigData stack to those engineers who have no significant experience, but have a strong desire to build their career in this sphere.

- Technical vision presentation to the client;
- Client communication;
- Take part or drive workout of architectural approach;
- Spearhead the design from business use-cases through design model;
- Reusable core components development;
- Drive true Agile process.

- Understanding of Lambda Architecture;
- Understanding of typical distributed architectures (WS, messaging, clusters, caching, etc.), scalability;
- Experience in all phases of the software development life-cycle;
- Experience with implementation of large systems that utilize J2EE technologies;
- Applied knowledge of designing n-Tier OO system architectures using EJB technologies or alternatives;
- Applied experience with OOD and UML;
- Applied knowledge of Design Patterns;
- Experience developing in J2EE and standard Java frameworks: Spring (Core, MVC, Web Services, Boot, Security), Hibernate/JPA;
- Experience with standard internet protocols such as HTTP, HTTPS, POP, FTP, SMTP;
- Applied experience with RDBMS design, development;
- Good SQL level, hands-on experience writing SQL s;
- Must be highly organized and detail-orientated;
- Must have the ability to work closely with team members;
- Good knowledge of algorithms and understanding their complexity;
- Hands-on experience with Unix shell;
- Good communication skills;
- English – at least Upper-Intermediate (reading/writing/speaking).

Nice to have:
- Hadoop, Map/Reduce, HDFS, Yarn;
- Spark/Spark Streaming/MLLib;
- Hbase, Hive;
- Oozie, Sqoop, Flume, Kafka;
- Overview of open source BigData and related frameworks.

We offer:
- Competitive compensation depending on experience and skills;
- Financial stability;
- Individual career path;
- Extensive social package;
- Opportunities for self-improvement: electronic libraries, seminars, and conferences;
- English classes, speaking clubs with native speakers;
- Friendly team, loyalty, and understanding;
- Flexible working schedule.

Contact: Екатерина Капралова
Skype k.kapralova

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