Azure Data Engineer (MS)

Company Description : 

Our culture is defined by our values and our deep commitment to help our clients succeed. We are a division of the 38th largest company in the world and bring to bear the strength of a very large network of interconnected Hitachi companies. At the same time we remain absolutely committed to the nimble agility that helped us grow Hitachi Solutions from three founding partners to nearly 2,000 consultants, developers and support personnel all around the globe.

Hitachi Solutions is a leader in providing industry solutions based on Microsoft Dynamics AX and Microsoft Dynamics CRM. Hitachi Solutions provides its customers with industry focus, software industry domain expertise, and proven tier-1 people. Hitachi Solutions works with its customers to understand their unique formula for success and develops solutions that improve their business and attain measurable results.2011, 2009, 2006 & 2005 Microsoft Dynamics Partner of the Year (Finalist 2008, 2007). Microsoft Global Dynamics Award (Global Dynamics Partner of the year) 2014. 

Hitachi Solutions is a core IT company of the Hitachi Group, which employs some 400,000 people worldwide. Through systems integration, we provide ideal solutions and products for customers. Headquartered in Tokyo, Japan, Hitachi Solutions' reach extends to group companies in Japan and abroad, working with a worldwide network of alliance partners. We bring solutions and products to diverse countries and regions including Asia, the United States and Europe. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities.  

For more information on Hitachi Solutions, please visit: https://web.hitachi-solutions.com

Experience: 4-8 years

Primary Skills: Azure Data Engineer

Job Description and Responsibilities:

Senior Data Engineers

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 (as much as possible, not all is mandatory)

• 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.
• Attitude and aptitude are of high importance at Hitachi, we are a very collaborative group.

 

We would like to see a blend of the following skills, not all of these are required, however 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

Beware of scams

Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests.  

All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.