- Collaborate with cross-functional teams such as data scientists, analysts, and other stakeholders to understand their requirements and deliver data solutions. Communicate technical concepts effectively to non-IT audiences.
- Integrate data from various sources such as databases, datalogs and APIs into a unified format for analysis. Develop ETL (Extract, Transform, Load) processes and real-time data pipelines.
- Evaluate and select appropriate tools and technologies for data storage, processing, and extraction.
- Develop and maintain robust ETL processes and data pipelines for ingesting, processing, and transforming large volumes of data from various sources. Ensure data quality and data integrity throughout the pipelines.
- Performance data extraction and create dashboard/ reports for data visualization.
- Design, develop, deploy and support production applications to enable test measurement operations. Ensure data exchange between IT application and tester works perfectly.
What we look for
- Bachelor’s degree and above in Computer Science, Software Engineering or similar with minimum 7 years of experience. Minimum 3 years of hands-on experience in data engineering.
- Good understanding of Agile methodology.
- Good experience in application development (DotNet, SOAP services, Restful API, JAVA, CUDA, ILGPU). Proficient in Database skill (Oracle, SQL Server, NoSQL)
- Experience in Cloud computing, Databricks and Snowflake; skilled in data staging using Python and SQL.
- Experience in Bigdata tools and technology such as Apache NIFI, Kafka, Airflow and experience with data serialization (JSON, AVRO, Parquet, Metadata)
- Familiar with manufacturing system architecture.
- Experience in semiconductor manufacturing/ operation technology is an added advantage.
Please contact Ronald Heon Lon Yip for further information via RONALD.YIP@AMS-OSRAM.COM or .