Intuitive Apps
1 year ago
Data Engineer
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Company information
- Company
- Intuitive Apps
- Location
- India India
- Posted
- 1 year ago
Job description
Hi We are having Urgent Requirement for our Reputed IT Client.Designation : Data EngineerNotice Period : Immediate Joiner or Max 25 Days ServingExperience : 6 to 8 YearsLocation : GurgaonKnowledge on Data Modelling, Data warehouse, and Data Analysis is also required.Key Skills: Minimum 6yrs Exp in Data Engineer , 3yrs in Azure Data Factory, Pyspark, Databricks
Data Engineering· Create and maintain optimal data pipeline architecture· Design and develop Data Warehouse solutions· Assemble large, complex data sets that meet functional / non-functional business requirements.· Identify, design, and implement internal process improvements: automating manual processes,optimizing data delivery, re-designing infrastructure for greater scalability, etc.· Build the infrastructure required for optimal extraction, transformation, and loading of data from a widevariety of data sources using cloud-based technologies.· Migrate on-prem processes from backoffice systems to the Cloud (Azure or Salesforce).· Configure analytics tools that utilize the data pipeline to provide actionable insights into quality,operational efficiency and other key metrics.· Work with stakeholders including the Product, Data, Finance, and Software Engineering teams to assistwith data-related technical issues and support their data needs.· Keep data separated and secure · Implement data tools for analytics, data scientist, and AI team members that assist them in building and optimizing current and new products. · Work with data and analytics experts to strive for greater functionality in our data systems.
Data Engineering· Create and maintain optimal data pipeline architecture· Design and develop Data Warehouse solutions· Assemble large, complex data sets that meet functional / non-functional business requirements.· Identify, design, and implement internal process improvements: automating manual processes,optimizing data delivery, re-designing infrastructure for greater scalability, etc.· Build the infrastructure required for optimal extraction, transformation, and loading of data from a widevariety of data sources using cloud-based technologies.· Migrate on-prem processes from backoffice systems to the Cloud (Azure or Salesforce).· Configure analytics tools that utilize the data pipeline to provide actionable insights into quality,operational efficiency and other key metrics.· Work with stakeholders including the Product, Data, Finance, and Software Engineering teams to assistwith data-related technical issues and support their data needs.· Keep data separated and secure · Implement data tools for analytics, data scientist, and AI team members that assist them in building and optimizing current and new products. · Work with data and analytics experts to strive for greater functionality in our data systems.
Required skills
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