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Staff Data Engineer (Big Data) - Data Product Development

Visa

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Job Summary


Salary
$9,000 - $12,000 SGD / Monthly EST

Job Type
Permanent

Seniority
Principal

Years of Experience
At least 5 years

Tech Stacks
TDD
HBase
Hive
Spark
NoSQL
kafka
Scala
MongoDB
Hadoop
Java

Job Description


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This position is ideal for an experienced  engineer who is passionate about solving challenging business problems and building applications that provide an excellent user experience. You will be an integral part of the Loyalty and Marketing development team focusing on design and build of software solutions that leverage data to solve business problems.


The role is for a self-motivated individual with software engineering skills and expertise with Big Data technologies. The candidate will be extensively involved in hands-on activities including POCs, design, documentation, development and test of new functionality. Candidate must be flexible and willing to switch tasks based on team's needs. 

  • Responsible for the architecture, 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.

Qualifications

Basic Qualifications

  • 5 or more years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD in computer science or related field.

Preferred Qualifications

  • 6 or more years of work experience with a Bachelor’s Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA,  JD, MD) or up to 3 years of relevant experience with a PhD n computer science or related field.
  • 6 or more years of software development experience (with a concentration in data centric initiatives), with demonstrated expertise in leveraging standard development best practice methodologies
  • Minimum of 4 years of experience in building large-scale applications using open source technologies. Design and coding skills with Big Data technologies like Spark, Kafka and Hive
  • Minimum of 4 years of hands-on expertise with Java or Scala
  • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following technologies: Hadoop distributions Spark, NoSQL data warehouses such as HBase, MongoDB.
  • Experience working in an Agile and Test Driven Development environment.

Additional Information

Work Hours:

  • Incumbent must make themselves available during core business hours

Physical Requirements: ​​​​​​

  • This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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