Responsibilities

• Play key developer and software architect roles, and usually also roles of a development team lead, project coordinator, reviewer or auditor
• Be a role model for colleagues, e.g. create deliverables and technical documentation in high quality
• Understand, follow and enhance defined software development process and introduce engineering practices
• Provide input on, follow and evangelize code quality guidelines and standards
• Develop proposals for implementation and designs scalable Big Data architecture
• Participate in customer’s workshops and presents designed solution
• Design, implement, and deploy high-performance, custom applications at scale on Hadoop
• Define and develop network infrastructure solutions to enable partners and clients to scale Big Data architecture for growing demands and traffic
• Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis
• Develop roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning
• Perform reviews and audits of existing solution, design and system architecture
• Perform profiling, troubleshooting of existing solutions
• Createstechnical documentation
• Lead the strategic planning, development and implementation of medium-to-large Big Data solutions or a component of a larger solution. Leads on all stages of presales activities for such projects. Works on architectural POCs, where required
• Interact with clients, advises and leads the translation of business requirements and models into appropriate architectural designs to ensure that business needs are met

Requirements

• Bachelor's degree or above in Computer Science, Software Engineering or related majors
• Minimum 7 years of relevant development experience
• Minimum 2 years of experience with at least 3 major big data technologies and frameworks including but not limited to HDFS, MapReduce, Spark, Hive, HBase, Cassandra and Elastic Search
• Minimum 1 year as Solution Architect, doing solution architecture design and architecture review for small-to-medium size solutions based on familiar technology stack
• Strong knowledge of at least one programming language such as Java, Scala, Python
• Expert in designing high quality solutions using OOP, TDD/BDD, Design Patterns and SOLID principles
• Excellent interpersonal skills, analytical mind, conscientious attitude, and passion for engineering excellence
• Upper intermediate (CEFR B2) or higher level of spoken and written English
• Self-management and strong prioritization skills
• Understanding of code quality measurements and able to implement efficient Unit Tests
• In depth understanding of different phases of software development lifecycle and understanding of Agile Scrum processes
• Ability to analyze several possible decisions of engineering problem and evaluate which one is better suited
• Willingness to adapt to changing requirements and ability to prioritize accordingly
• Possess strong SQL knowledge and general knowledge of data management
• Practical expertise in performance tuning and optimization, bottleneck problems analysis
• Demonstrated experience in solution cost estimation (including tools, tasks, complexity, labor & time) at coarse grain levels, with supporting material evidence
• Ability to work with Linux console and write bash/shell scrips
• Ability to provide technical solutions from an architect perspective
• Ability to provide realistic estimation on required effort and manage to complete tasks in accordance with estimation

Nice to have

• Experience with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Microsoft Azure or Google Cloud
• 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)
• Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization)
• Knowledge of one additional programming language as Java, Scala, R, Python or C#
• Ability to analyze and propose to customer cross-industry or cross-platform solutions
• Runs technology community or tech. talks series

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 classes
• 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