Job Title: Data Engineer Duration: 12+ Months Working Model- Hybrid Location: Austin Texas The person: • We are seeking an experienced Data Engineer with a solid blend of technical expertise, analytical capabilities, and business acumen. • The ideal candidate will possess the strategic thinking skills necessary to develop and implement robust data architectures that meet complex business requirements. • They will be responsible for designing, building, and maintaining data pipelines and infrastructure, optimizing data storage solutions, and ensuring the seamless integration of data from various sources. Key responsibilities: • Perform duties of database administrator for snowflake, Postgres and MySQL databases. • Collaborate with data analysts, and other stakeholders to understand data requirements and provide the necessary infrastructure. • Design, build, and maintain robust data pipelines to collect, process, and transfer data from various sources to data storage solutions. • Create data models that facilitate efficient data storage, retrieval, and analysis in data warehouse. • Manage and optimize data warehouse, ensuring performance, security, and scalability. • Develop and implement ETL and ELT processes to integrate data from multiple sources, ensuring data quality and consistency. • Manage cloud-based data solution (Azure) to enhance data storage and processing capabilities • Create and maintain comprehensive documentation for data architecture, processes, and standards to ensure transparency and maintainability. Preferred experience: • Experience working within semiconductor industry or related high-tech sectors • At least 5+ years of experience in SQL, including writing complex queries, optimizing performance, and managing large datasets. • At least 5+ years of experience in Python or similar languages, focusing on developing data processing scripts, automating data workflows, and implementing data pipelines. • Experience in administering and optimizing a Data Warehouse, including data loading, query performance tuning, and managing user access and security protocols (Snowflake is preferred). • Experience with big data technologies and cloud-based analytics platforms (Azure is preferred). • Experience in using data flow tools to design and manage data flows, ensuring efficient data ingestion, transformation, and routing between various data sources and systems. (Apache Nifi is preferred). • Experience collaborating with international teams, particularly in China and India.