Data Engineer II - Iconma
Cupertino, CA
About the Job
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.
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.
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.
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.
Source : Iconma