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We are currently seeking an experienced Data Visualization/Business Intelligence Engineer (for Contract) to help building up dashboards for the ADAS / Autonomous Driving team using our large-scale data management system. This role will require experience in collecting requirements for dashboards from stakeholders & business users, developing and managing the dashboards, supporting the data pipeline and data processing, data ingestion, data pre-processing, efficient data search and high-performance data manipulation. The Role: • Drive the vision, strategy and execution of ADAD/AD data visualization in sync with requirements from business users (Feature owners, Systems engineers, Validation engineers, Program managers) • Collaborate with cross-functional teams to identify key matrices & KPIs that are crucial for Lucid’s business success • Partner with ADAS validation, data and software engineers in ensuring efficient data collection, creation a state-of-the-art data pipeline, processing & presentation of large dataset from multiple sources for in-production & in-development ADAS features & testing data • Develop detailed and visually intuitive dashboards for ADAS features customer and new feature testing data on Lucid’s production & engineering vehicles to extract actionable insights and data-driven decision making • Stay abreast of emerging trends and best practices in data visualization and apply them to solve engineering challenges • Establish standards and best practices for dashboard development and management, educating stakeholders on effective usage and interpretation • Support efficient data (pre-)processing in our cloud infrastructure, ensure the accuracy, integrity, and performance of underlying data queries, proactively identifying and resolving data quality issues • Contribute to the architecture and implementation of an efficient data ingestion process to transfer and store large-scale vehicle data and help to optimize the data search and processing • Contribute to the implementation of a secure distributed data access solution for data on-premise and via cloud providers to connect Lucid data with service providers and partners Qualifications: • Technical expertise in data extraction, exploration, modelling, and visualization using SQL, Tableau and Python etc. • Knowledge of database systems, big data concepts and cluster computing frameworks (e.g. Spark, Hadoop, or other tools) • Excellence in Python, Java or other related programming languages • Previous experience with big data applications or back-end software development • Familiar with data engineering, machine learning, deep learning frameworks and related open-loop testing techniques • Strong communication skills Advantageous: • Previous experience building efficient large-scale data collection, storage and processing pipelines • Understanding of cyber-security issues and best practices Education: • BS minimum in the areas of Computer Science/Engineering, Data Engineering or other related fields • 4 years of work experience or a PhD in a related field • Advanced degrees preferred