
Senior Data Engineer
- Pulau Pinang
- Training
- Full-time
- The successful candidate will work closely with yield/process/Quality engineers to understand their business needs, analysis methodologies and come up with solutions to assist data-driven decisions in their daily work
- Help users to do quick and efficient signal detection for yield or process issues, improve yield and quality and reduce cost to meet Quality/Output/Cost goals
- Stay abreast of the latest advancements in data solution development and evaluate their applicability to the manufacturing processes and ecosystems.
- Bachelor's degree with 5+ years of industry/post-university experience in Computer Science/Computer Engineering or a related field with solid software programming experience. OR
- Master's degree with some industry/post-university (internship) experience in Computer Science/Computer Engineering or a related field with strong software programming experience. OR
- PhD with some experience in Computer Science/Computer Engineering or a related field with strong software programming experience.
- Data Analysis/Visualizations: Power BI or Tableau or Spotfire. Ability to create custom dashboards
- Scripting/Programming: Python or R
- Web/API Integration: REST API, JSON, XML. Javascript/Web/HTML scripting
- Data Engineering and ETL Skills: Experience with data pipeline, data ingestion and transformation. Familiarity with Apache NiFI, Kafka or simila ETL frameworks. Shell scripting (e.g. Bash) for task automation
- Database Querying: SQL (Oracle or MS SQL or Postgres).
- Experience with NoSQL databases (MongoDB, Cassandra, HBase) is a plus
- Data Science / ML: Experience with Jupyter notebooks, MLOPs platforms and Advanced Python is a plus
- Mfg/Semiconductor process/data domain knowledge is a plus