Implementation Engineer (Singapore) - Research and Development

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

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

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

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

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