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Data Engineer II

3 months ago

Cupertino, United States TalentBurst Full time

Job Title: Data Engineer II
Location: Cupertino, CA (Hybrid- 3 Days Onsite)
Duration: 9 months (Possible extension)

Key Qualifications:
2+ years as data engineer, software engineer, or data analyst.
Battery Engineering / Electrical Engineering experience desired.
Working knowledge and experience with big data.
Strong working knowledge of Python, SQL, and Git.
Basic knowledge of SQL databases, Spark, data warehousing, and shell scripting.
Candidate must have solid competency in statistics and the ability to provide value-added analysis.
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.
Experience in designing and building data models to improve accessibility, efficiency, and quality of data.
Improve ELT efficiency and answering business critical questions with data.
Experience building scalable data pipelines using Spark, etc. is a plus.
Desirable for experience with Apple OS, such as iOS, MacOS, etc.
Job Description:
Write ELT pipelines in SQL and Python.
Utilize advanced technologies, for modeling enhancements.
Test pipeline and transformations, and document data pipelines.
Maintain data and software traceability through GitHub.
Build a high-quality data transformation framework, implementing and operating data pipelines with an understanding of data and Client lifecycles.
Understand end to end nature of data lifecycles to deliver high quality data and debug data concerns.
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
Deliver high quality analytic insights from a data warehouse.
Provide ad-hoc reporting as necessary (sometimes urgent escalation)
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.
Education:
MS or Ph.D. in Computer Science, Software Engineering, Battery Engineering, Machine Learning, Statistics, Operations Research or related field.
CSSBB, CQE desired.
Required Skills:
PYTHON

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