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Software Engineer (Big Data) Shenzhen, China

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Software Engineer (Big Data) Description

Job #: 49409
Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

DESCRIPTION



We are looking for an energetic Software Engineer (Big Data) specialized in Java in Shenzhen to make the team stronger.

We Value


Value the individuals – We encourage and motivate people to grow. We perceive our people as a source of our success;
Strive for excellence – We strive for the highest standards of excellence and continuously learn. We take pride in our engineering and accomplishments;
Act as a team – We treat one another with respect and encourage the best ideas to come from anywhere within the organization. We value our diversity;
Focus on Customers – We build long term customer relationships, as we strive to always understand our customers' business and needs;
Act with integrity – We operate legally, honestly and ethically. We take responsibility for our actions.

Responsibilities

  • Play a developer role
  • Write high quality and testable code following clean code principles
  • Implement functionality by following defined software development process without direct supervision
  • Read and understand project and requirement documentation
  • Create documentation describing his / her code
  • Participate in Agile Scrum activities: daily standup, demo session, retrospective, planning, etc

Requirements

  • Bachelor's degree or above in Computer Science, Software Engineering or related majors
  • Minimum 1 year of experience in software engineering and Big Data
  • Knowledge of at least one programming language such as Java, Scala, Python
  • Experience in any of the big data technologies and frameworks such as HDFS, MapReduce, Spark, Hive, HBase, Cassandra and Elastic Search
  • Solid knowledge of design patterns, refactoring concepts and algorithms
  • Well versed with using version control tools (e.g., GIT, SVN)
  • Good understanding of software development lifecycle, experience in Agile Scrum process
  • Experience of relational database technologies e.g., SQL Server, Oracle
  • Familiar with Linux shell scripting
  • Solid technical expertise and troubleshooting skills
  • Be self-managing and work without supervision
  • Good interpersonal skills, analytical mind, get things done attitude, and passion for engineering excellence
  • Willingness and ability to adapt to changes in priorities and requirements
  • Active learner who is passionate about technology and keeps up to date with technology changes
  • Good communication skills
  • Elementary (CEFR A2) or higher level of spoken and written English

Nice to have

  • Experience with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Microsoft Azure or Google Cloud
  • Microsoft SQL server with SSIS (integration Services), SSRS (Reporting Services)
  • Report / dashboard creation using Cognos and Tableau
  • Experience in design of one or more of the following: Master Data Management, Data Governance, Advanced Analytics / Data Science, Big Data solutions
  • Certification in Big Data field (i.e. one of Spark, Cloudera, Hortonworks, MapR or Cassandra)

We offer

  • Experience exchange with colleagues all around the world
  • International projects
  • Opportunities for self-realization
  • Friendly team and enjoyable working environment
  • Engineering, corporate and social events
  • Professional & soft skills trainings, medical & family care programs, and forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
  • Free English
  • Online training course library, mentoring, career development and potential partial grant of certification
  • Unlimited access to LinkedIn learning solutions
  • Flexible working schedule
  • Compensation for sick leave and paid time off
  • Tech talks and hackathons
  • Referral bonuses
Learn more about EPAM in China

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