Azure Data Engineer

Job not on LinkedIn

April 30

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Logo of Hitachi Solutions America

Hitachi Solutions America

Enterprise • Artificial Intelligence • Cloud Platform

Hitachi Solutions America is a global cloud-services and systems integrator that specializes in empowering customers through Microsoft solutions and services. The company focuses on advisory services, application innovation, artificial intelligence, business applications, cloud platforms, data and analytics, managed services, and security and governance. With a strong emphasis on industry-specific solutions, it caters to sectors such as construction, retail, energy, financial services, healthcare, insurance, manufacturing, and more. Hitachi Solutions America aims to connect business value to technology through a human-centered experience and is recognized for its expertise in low-code application development and intelligent automation. It is a 100% Microsoft platform-focused organization, earning numerous cloud solution designations and specializations, which demonstrates its deep understanding of industry challenges and outcomes.

501 - 1000 employees

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Senior Data Engineers are responsible for delivering high quality modern data solutions through collaboration with our team and our customers. • Projects may range from short term client assessments through multiyear delivery engagements with large, blended teams.

🎯 Requirements

• Hands-on experience working at a high level in Architecture or Data Science or combination. • Azure skills highly preferred, including provisioning, Configuring, and Developing solutions in ADL, ADF, ADW etc. • In-depth understanding of database structure principles • Hands-on experience using MS SQL Server, Oracle or similar RDBMS platform. • Distributed Data Processing of big data batch or streaming pipelines. • Construction of data science and machine learning research and production pipelines. • Familiarity with data visualization tools (e.g. PowerBI, Tableau etc.) • Data Modeling & strong analytics skills in Analytics. • Problem-solving attitude • Highly self‐motivated, self‐directed, and attentive to detail • Ability to effectively prioritize and execute tasks. • Databricks and Spark are highly desirable: Azure SQL Data Warehouse Azure Data Factory Azure Data Lake Azure Analysis Services Databricks/Spark Python or Scala (Python preferred) Data Modeling Power BI Database migration from legacy systems to new solutions • Design conceptual, logical and physical data models using tools like ER Studio, Erwin

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