CBTS serves enterprise and midmarket clients in all industries across the United States and Canada. CBTS combines deep technical expertise with a full suite of flexible technology solutions--including Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, CBTS delivers comprehensive technology solutions for its clients' transformative business initiatives. For more information, please visit www.cbts.com.

OnX is a leading technology solution provider that serves businesses, healthcare organizations, and government agencies across Canada. OnX combines deep technical expertise with a full suite of flexible technology solutions—including Generative AI, Application Modernization, Managed Hybrid Cloud, Cybersecurity, Unified Communications, and Infrastructure solutions. From developing and deploying modern applications and the secure, scalable platforms on which they run, to managing, monitoring, and optimizing their operations, OnX delivers comprehensive technology solutions for its clients’ transformative business initiatives. For more information, please visit www.onx.com.

Atleast  5 years experience-

In data development and principles including end-to-end design patterns

years proven track record of delivering large scale, high quality operational or analytical data systems

Applicable experience building complex data solutions that have been successfully delivered to customers

·       Experience in a minimum of one of the following technical disciplines: data warehousing, big data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and databases here at Kroger, Supply Chain Planning. Ability to help Sr Data Engineer

·       Ability to work with cross functional team, others areas for data, data flows, architecture views, and helping to guide, support and facilitate work for Data Engineer role

·       Other:

·       Experience with SSAS Tabular models, Power BI, Dataflows and DAX

·       Experience with Azure Data Platform stack: Azure Data Lake, Data Factory and Databricks

·       Experience with Python, Spark and SQL

·       Any experience with streaming technologies like Kafka, IBM MQ and EventHub

·       Eexperience with data science solutions or platforms

·       Experience with a variety of SQL, NoSQL and Big Data Platforms

·       Experience building solutions using elastic architectures (preferably Microsoft Azure and Google Cloud Platform)

Location: Chennai /Hyd