iShare Inc.
B2B • Enterprise
iShare Inc. is a New Jersey–based boutique IT consulting firm that provides strategic advisory, software development, and staffing services focused on helping organizations adopt the right technologies for business improvement and transformation. The firm emphasizes practical, people-centered consulting—guided architecture, automation, BI, and information security—delivered by senior leaders with deep enterprise experience across industries such as chemicals/manufacturing, healthcare, software, and professional services. iShare positions itself as a trusted, hands-on B2B partner offering white‑glove service and industry-aware IT solutions to mid-market and enterprise clients across the US.
11 - 50 employees
Founded 2017
🤝 B2B
🏢 Enterprise
Data Engineer – Databricks, Azure
Job not on LinkedIn
November 5
iShare Inc.
B2B • Enterprise
iShare Inc. is a New Jersey–based boutique IT consulting firm that provides strategic advisory, software development, and staffing services focused on helping organizations adopt the right technologies for business improvement and transformation. The firm emphasizes practical, people-centered consulting—guided architecture, automation, BI, and information security—delivered by senior leaders with deep enterprise experience across industries such as chemicals/manufacturing, healthcare, software, and professional services. iShare positions itself as a trusted, hands-on B2B partner offering white‑glove service and industry-aware IT solutions to mid-market and enterprise clients across the US.
11 - 50 employees
Founded 2017
🤝 B2B
🏢 Enterprise
📋 Description
• Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models • Develop and maintain scalable and efficient data pipelines • Implement robust data checks and validate large datasets • Monitor data jobs and troubleshoot issues • Review and audit data processes for compliance • Work within Agile methodologies including scrum and sprint planning
🎯 Requirements
• Bachelor’s degree in Computer Science, IT, or related field • 7–12 years of experience in Data Engineering with Databricks & Cloud • Strong proficiency in PySpark, Python, SQL • Experience in data modeling, ETL/ELT pipeline development, and automation • Hands-on experience with Azure Data Factory, Azure Databricks, Azure Data Lake • Experience with Delta Lake, Delta Live Tables, Autoloader & Unity Catalog
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