Implementation Engineer (Singapore) - Research and Development

Responsibilities

• Owns and delivers installation and configuration of AI products
• Participates in solution architecture discussions to estimate hardware sizing
• Analyses defects and conducts effective triaging
• Works closely with engineering, product, solution architects in resolving defects
• Proactively participates in the product release cycle and sign off on client releases
• Supports current ETL designs and code to resolves defects on existing solutions
• Ensures data quality
• Translates data access, transformation, and movement requirements into functional requirements and mapping designs.
• Develops logical and physical data flow models for ETL applications.
• Documentation and Training
• Communicates effectively with the client and manage expectations

Must-Have Requirements

• 2+ years of experience in working with big data application stack including HDFS, YARN, Spark, Hive and HBase
• 1+ years of experience in AWS Cloud Setup
• 1+ years of experience in Enterprise SW installation especially packages

Good to Have Requirements

• 1 or 2-year experience in ETL in Big Data Hadoop environment (Hive/Hbase knowledge)
• 1 or 2 years of experience in shell scripting or python
• 2+ years of experience in Hadoop Big Data projects Experience with developing, tuning and debugging code, python/shell scripts loading into Hive, Mariadb, MySQL
• Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
• Experience working with CI/CD tools like Jenkins and various test report and coverage
• Experience defining and automating the build, versioning and release processes for complex enterprise products
• Knowledge of python and hands-on coding experience is a plus
• PySpark understanding and experience
• Client interaction

Desired Non-technical Requirements

• Good verbal and written communication skills
• Team Player
• Strong desire to work with startups

Job Perks

• Attractive variable compensation package
• Flexible working hours – everything is results-oriented
• Opportunity to work with an award-winning organization in the hottest space in tech artificial intelligence and advanced machine learning