Data Platform Engineer, Student

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

⏱ Part Time

⚪️ Entry-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hitachi

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1910

🚘 Automotive

🏗️ Construction

💼 Consulting

Automotive • Construction • Consulting

Hitachi, Ltd. is a global company that operates in various sectors with a focus on social innovation. Hitachi provides advanced digital solutions, services, and technologies under its brand 'Lumada' to solve customers’ challenges and enhance societal value. The company is committed to sustainability and environmental, social, and governance (ESG) initiatives, aiming to improve quality of life through technologies that foster a sustainable society. Hitachi's products and solutions span digital systems, green energy, mobility, and connective industries, promoting digital transformation of business systems and social infrastructure. Founded in 1910, Hitachi's long-standing dedication to innovation and societal development makes it a leader in driving positive change worldwide.

📋 Description

• Perform detailed analysis and cleanup of Customer and Account master data • Identify duplicate, obsolete, incomplete, and incorrectly configured customer/account records • Analyze Sold-To, Ship-To, Bill-To, Payer, and other customer relationships • Develop repeatable rules for identifying potential duplicate accounts • Perform address standardization, validation, and data-quality checks • Work with business teams to determine the disposition of questionable or duplicate records • Develop automated data-quality checks • Produce reports and dashboards showing cleanup progress and outstanding exceptions • Design, develop, and maintain pipelines moving data from enterprise applications and databases into Snowflake • Build full-load and incremental/delta data-integration processes • Develop staging, transformation, and curated data layers • Implement data validation and reconciliation between source systems and Snowflake • Troubleshoot pipeline failures and data-quality discrepancies • Improve pipeline reliability, monitoring, logging, and exception handling • Support structured and semi-structured data integration • Assist with Data Platform requests, enhancements, and production-support activities • Perform data analysis and root-cause investigation for reported data issues • Work independently on smaller projects and enhancements • Support testing, reconciliation, deployment, and post-deployment validation • Collaborate with business analysts, application teams, SAP resources, Data Platform engineers, and reporting teams • Establish repeatable processes and automation to reduce manual effort

🎯 Requirements

• Experience working in Data Engineering, Data Analytics, Master Data Management, or Data Platform development • SQL skills • Knowledge of Snowflake, Python, and ADF • Understanding of relational databases, data modeling, and data warehousing concepts • Ability to analyze large datasets and identify patterns, discrepancies, and data-quality issues • Strong analytical and problem-solving skills • Ability to work independently with limited supervision • Good written and verbal communication skills • Bachelor's or Master’s degree in computer science (preferred)

🏖️ Benefits

• Remote/virtual work arrangement