Brief Summary
Join a dynamic team as a Data Engineer, where you'll lead the creation of innovative data solutions. This role offers the opportunity to bridge business needs with technical implementations while shaping the technology roadmap.
Responsibilities
Collaborate with multiple stakeholders to deliver reliable data solutions. Identify technical roadblocks and implement strategies to maintain project timelines. Produce documentation for technical designs, operational procedures, and knowledge transfer. Translate business requirements into technical specifications for data architecture. Design and implement data pipelines for various smart factory use cases. Establish data quality validation and monitoring mechanisms. Optimize data pipelines and storage structures for enhanced performance. Guide junior engineers while establishing best practices in pipeline development.
Requirements
Bachelor's Degree in Computer Science, Information Technology, or a related field. 8-10 years of experience in Data Engineering, ETL/ELT development, and data platform implementations. Expertise in designing production-grade data pipelines using diverse architectures. Proficiency in Python and SQL for data automation and transformation. Experience with technologies like Apache Spark, Hadoop, and Industrial IoT integrations. Familiarity with database technologies such as MySQL, PostgreSQL, and cloud platforms like AWS or Azure. Strong analytical and problem-solving skills with effective stakeholder communication abilities.