Development of large scale big data solutions to be used in a very large production environment.
Gather, analyse and maintain large data sets to provide answers to address hurdles and create innovative solutions in large-scale data infrastructures.
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.
Develop code and mentor junior developers to ensure deliverables are on time, within budget, and with good code quality.
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:
67 67Demonstrated hands on experience building Big Data solutions. Experience with Hadoop ecosystem: Hadoop, Spark, MapReduce, Hive, Yarn, HBase, etc
67Experience with RDBMS as well as NoSQL stacks (ElasticSearch, HBase, Cassandra)
67Hands on experience with Java/J2EE development experience
67Hands on experience on devops technology.
67
67 Desirable Technical Skills – but not mandatory
67 67 Good grasp of statistical and scientific programming packages in Python is a plus
67Good grasp of data science concepts with emphasis on machine learning techniques is a plus
67Experience with Agile/Scrum development methodologies
67Software testing know-how, including black-box and white-box testing methodologies and both functional and non-functional testing
67Test driven development experience
67Qualification & Skills
67 Strong analytical & problem solving and creative skills
67Good communication skills in both written and oral English
67Ability to be organised and multi-task on different requirements across various stakeholders, and to work independently and under pressure
67Cultural sensitivity and awareness to work with a range of people from diverse background and geographies