Data Engineer

Description

Data Engineer

Company: Hitachi America, Ltd.

Division: Research and Development, Industrial AI Lab (R&D/IAL)

Location: Remote/Home Office

Status: Temporary, full-time from November 2021 through March 2022

Summary:

Hitachi America, Ltd. is in need of Data Engineers to assist researchers to develop and implement data processing pipelines. Ideal candidates should be self-starting, experienced programmers in the area of data engineering and comfortable working with research problems.

Qualifications:

• MS degree or higher in Computer Science / Data Science / Industry Engineering / Operation Research / Statistics.
• 5+ years of experience in data engineering - specifically data processing software development is required.
• Strong experience in Python and SQL/Database/EDW (e.g. Postgres, Talend) is required. Common Python libraries for data processing (e.g. pandas, numpy) is required.
• Strong experience in data pipeline design, data cleansing, ETL is required.
• Experience of creating data processing pipelines on open source software and platform (e.g. Spark/Apache AirFlow/Apache Beam/etc.) is required.
• Experience in docker containerization and cloud service platform (AWS/GCP/AZURE) is required.
• Expertise in breaking down problems and estimate time for development tasks is required.
• Knowledge in applying AI/Machine Learning libraries in industrial applications is a plus.

Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to [email protected]. Queries other than accommodation requests will not be responded to.