Software Engineer

Location: Singapore, Singapore City
Posted On: 9/30/2017
Job Code: Software Engineer
Job Description
• Responsible for the design, development and implementation.
• Work on development of new products iteratively by building quick POCs and converting ideas into real products.
• Design and develop mission-critical systems, delivering high-availability and performance.
• 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.
• Have a passion for delivering zero defect code and be responsible for insuring the team's deliverables meet or exceed the prescribed defect SLA.
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code.
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.
Category:IT  code:new
Job Requirements
• BS/MS in Computer Science, Computer Engineering, or related field.
• 5+ years of software design and development experience.
• Must have strong development experience in Python, Hadoop, Unix Shell script & Spark
• Strong foundation in computer science, with strong competencies in data structures, algorithms and software design optimized for building highly distributed and parallelized systems
• Minimum of 3 to 4 years of experience in building large scale applications using open source technologies.
• Design and coding skills with Big Data technologies like Hadoop, Spark, Map Reduce, H-Base or equivalent
• Full Stack Software Development experience in of large scale mission critical applications.
• Demonstrated hands on experience building Big Data solutions. Expertise in Big Data technologies in Hadoop ecosystem – Spark, HBase, MapReduce, Yarn, Kafka etc.
• Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following technologies: Hadoop distributions Spark streaming, Kafka, NoSQL data warehouses such as Hbase, MongoDB and data processing frameworks like Apache Nifi.

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