Description

Job Description:    

• Java or Python with work experience on any cloud, GCP experience nice to have.
• Support the Data engineering design, build and execution of post source system extraction and data lake ingestion and business transformation.
• Hands-on experience in writing complex SQL queries (Such as: Hive/Spark/Postgres/BQ).
• Hands-on experience in ETL and Data Pipelines.
• Strong Programming experience in one language such as Java or Python, Scala or PySpark and Unix/shell scripting is a must.
• Working experience on Cloud native platforms.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills to work across multiple groups within the organization.
• Strong experience with Azure cloud computing platform, other Azure technologies.
• Schema Migration (Set-Up, Initial Configuration)
• History Data Migration (Set-Up, Initial Configuration)
• Document ‘AS-IS’ & ‘TO-BE’ system architecture & flows
• Good Understanding of landscape and hands on with Python / PySpark / Scala
• Prepare High Level Design & Low-Level Design for ETL mappings
• Create source to target mappings
• Assume Overall responsibility for ETL / BI delivery
• Allocate work items and monitor team activities
• Coordinate with solution architect for resolution of technical issues
• Review ETL/BI code and other deliverables generated by Cognizant
• Recommended Azure certified, experience with architecture design and implementation of Azure Cloud based application.
• Development of target architectures and transition plans
• Facilitating complex design and technical discussions, reconciling differing opinions and driving the decision-making process.

Education

Any Gradute