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