Job description

Schneider Electric is looking for AWS data cloud engineer with min experience of 5 years in AWS data lake implementation. Responsible for creating/managing data ingestion, transformation, making data ready for consumption in analytical layer of data lake. Also responsible for managing/monitoring data quality of data lake using informatica power center. Also responsible for creating dashboards from analytical layer of data lake using Tableau or Power BI.

 

Your Role

We are looking for strong AWS Data Engineers who are passionate about Cloud technology. Your responsibilities are\:

Design and Develop Data Pipelines\: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting.Implement ETL/ELT Processes\: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and AWS tools.Implement data quality rules, perform data profiling to assess the source data quality, identify data anomalies, and create data quality scorecards using Informatica PowerCenter.Design Data Solutions\: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making.Interact with product owners to understand the needs of data ingestion, data quality rules.Adopt DevOps Practices\: Utilize DevOps methodologies and tools for continuous integration and deployment (CI/CD), infrastructure as code (IaC), and automation to streamline and enhance our data engineering processes. Optional skill.