61 Development of large scale big data solutions to be used in a very large production environment.
61 Gather, analyse and maintain large data sets to provide answers to address hurdles and create innovative solutions in large-scale data infrastructures.
61 Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
61 Develop code and mentor junior developers to ensure deliverables are on time, within budget, and with good code quality.
61 Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

Mandatory Technical Skills:

61 Demonstrated hands on experience building Big Data solutions. Experience with Hadoop ecosystem: Hadoop, Spark, MapReduce, Hive, Yarn, HBase, etc
61 Experience with RDBMS as well as NoSQL stacks (ElasticSearch, HBase, Cassandra)
61 Hands on experience with Java/J2EE development experience
61 Hands on experience on devops technology.

Desirable Technical Skills – but not mandatory

61 Good grasp of statistical and scientific programming packages in Python is a plus
61 Good grasp of data science concepts with emphasis on machine learning techniques is a plus
61 Experience with Agile/Scrum development methodologies
61 Software testing know-how, including black-box and white-box testing methodologies and both functional and non-functional testing
61 Test driven development experience

Qualification & Skills

61 Strong analytical & problem solving and creative skills
61 Good communication skills in both written and oral English
61 Ability to be organised and multi-task on different requirements across various stakeholders, and to work independently and under pressure
61 Cultural sensitivity and awareness to work with a range of people from diverse background and geographies