Our Client, a Consumer Products and Software Services company, is looking for a Data Engineer II for their Cupertino, CA/Hybrid location Responsibilities: + Deliver high quality analytic insights from a large data warehouse, especially time series data. + Experience working in a cloud-native environment such as Snowflake. + Demonstrated abilities in problem formulation, algorithm design, and model building, including statistical analysis and evaluation. + Compare the results of predicted values and actual values, based on historical data availability + Write Python programs to implement Machine Learning functions and maintain revision in Github. Utilize advanced technologies, for modeling enhancements + Understand end to end nature of Client DB to organize proper sample size, proper key pull and minimize SQA issues with maximum efficiency. + Drive development of data products in collaboration with data scientists and analysts. Automate reporting where possible to make team more efficient + Be able to analyze factory, user, and failure data and use engineering understanding mechanisms to resolve battery problems + Work with diverse teams including data scientists, engineers, product managers and executives + Write programs for data filtering, organization, reporting. Write programs for uploading to and maintaining data in SQL database. Develop basic data management and selection programs on SQL. + Maintain software traceability through GitHub Requirements + 6+ years as data scientist, data engineer or analyst. Battery Engineering experience desired. Working knowledge and experience with big data. + Strong working knowledge of Snowflake, Python, SQL, Airflow and Tableau. + Solid competency in statistics and the ability to provide value-added analysis. + Familiar with machine learning algorithm and capable to use proper metrics to evaluate model results. + Proficiency developing machine learning solutions using Python and its associated ecosystem — Numpy, pandas, TensorFlow, PyTorch, etc. + Experience working with large-scale data processing pipelines is a must. + Self-starter with entrepreneurial experience and ability to interact with other functions in matrix environment. Proven creativity to go beyond current tools to deliver best solution to the problem. Familiarity with database modeling and data warehousing principles. + MS or Ph.D. in Computer Science, Software Engineer, Data Science, Machine Learning, Statistics, Operations Research or related field Why Should You Apply? + Health Benefits + Referral Program + Excellent growth and advancement opportunities As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, gender, sexual orientation, gender identity or express, ethnicity, national origin, age, disability status, political affiliation, genetics, marital status, protected veteran status, or any other characteristic protected by federal, state, or local laws.