Azure Data Engineer

3 days ago


Bengaluru, India Nityo Infotech Full time
Business Intelligence , C , Engineering , Integration , Java , SQL , A , AWS , Achieve , Activities , Adaptability , Agile , Analysis , Analysis Services , Analytic , Analytics , Approach , Automation , Azure , Backgrounds , Bangalore , Based , Belgium , Building , Building Trust , Business , Business Intelligence , Business Requirements , C , CO , CTS , Change , Client , Cloud , Cloud Storage , Cloudera , Code , Common , Communications , Company , Computer Science , Concepts , Configure , Consumer , Consumption , Coordinate , Creativity , Cultivating , Culture , Curiosity , Data , Data Analytics , Data Engineering , Data Operations , Data Science , Database , Debugging , Delivery , Delta , Design , DevOps , Digital , Digital Transformation , Diversity , Docker , Documentation , Engineering , Engineers , Excel , Excellent , Execution , Exposure , Factory , Fun , Functional Requirements , Functions , Germany , Global , Goal , Goals , Grade , Hadoop , Handover , Headquarters , Health , Hive , Honest , Hours , IDEA , IDEAL , Ideas , India , Infrastructure , Ingest , Innovation , Integration , Integrity , Intelligence , Java , Journey , Kubernetes , Lake , Learn , Level , Location , Logging , Long Term , Maintain , Maintenance , Move , ODC , ONE , Offices , Operational , Operations , Organization , People , Pipelines , Platforms , Play , Plus , Positions , Power , Power BI , Presto , Process Integration , Production , Pune , Python , REST , Reflection , Resourceful , Responsible , Road , SQL , SQL Database , Scala , Science , Self Service , Services , Source , Spark , Speed , Storage , Storage Solutions , Store , Strong , Structured , Structured Data , Supporting , Technical Design , Technical Documentation , Technology , Train , Transform , Transformation , Trust , Values , Visit , Data Pipelines , KafkaExperience Required

4 - 7 Years

Industry Type

IT

Employment Type

Contract

Location

India

Roles & Responsibilities

Work on the projects in Data Analytics Competence. As a Data Engineer, you will execute the Data Engineering projects assigned to you and will coordinate for the execution and delivery of the projects to CTS Airpower Data Analytics Centre. You will work closely with team in Belgium.

Expertise & Qualification

Bachelor s or masteru2019s degree in computer science, engineering or equal through, Master s degree in computer science, engineering or equal through, Degree in computer science, engineering or equal through, Experience With data engineering on cloud-based data platforms using Databricks (Spark), preferably based on MS Azure technology: Azure Storage, Azure SQL database, Azure data factory, Azure Databricks., Experience With following concepts or technologies is considered a plus:

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