Data Engineers

Job description

Cyient is a global engineering and technology solutions company. As a Design, Build, and Maintain partner for leading organizations worldwide, we take solution ownership across the value chain to help clients focus on their core, innovate, and stay ahead of the curve. We leverage digital technologies, advanced analytics capabilities, and our domain knowledge and technical expertise, to solve complex business problems.

With over 15,000 employees globally, we partner with clients to operate as part of their extended team in ways that best suit their organization’s culture and requirements. Our industry focus includes aerospace and defence, healthcare, telecommunications, rail transportation, semiconductor, geospatial, industrial, and energy.

Job Description

  • Excellent skills in data migration, data mapping and conversion, data modeling, data services, reporting, and analytics
  • Data modelling across both operational (OLTP) and analytical (OLAP) use cases;
  • DWH, dimensional data modelling (star schema) and other core BI concepts
  • Architecting, design and implementing solutions in the Microsoft Azure stack using technologies such as Azure Data Factory, Databricks, SQL Server will be desirable
  • Must Have – Apache Spark , PySpark / ScalaSpark

Nice to have :

  • Azure Data Factory
  • Lake House Architectures & Azure Data Bricks

Skills & Experience

Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, PySpark, Scala, Spark SQL

Cyient is an Equal Opportunity Employer.

Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter.

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