Senior Staff Engineer, IT Production Data Engineering Technical Expert

The ams OSRAM Group is a global leader in optical solutions. By adding intelligence to light and passion to innovation, we enrich peoples' lives. This is what we mean by Sensing is Life. Our around 26,000 employees worldwide focus on innovation across sensing, illumination and visualization to make journeys safer, medical diagnoses more accurate and daily moments in communication a richer experience.

Responsibilities:

• 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 applications and testers works perfectly.

Minimum Requirements:

• Bachelor’s degree and above in Computer Science, Software Engineering or similar with a minimum of 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 skills (Oracle, SQL Server, NoSQL).
• Experience in Cloud computing, Databricks, and Snowflake; skilled in data staging using Python and SQL.
• Experience in Big Data 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.