Data Engineer - SAP

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. We exist to make food the world loves. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for whats next. The Enterprise Data Development team is responsible for designing & architecting solutions to integrate & transform business data into Data Warehouse to deliver data layer for the Enterprise using cutting edge cloud technologies like GCP. We integrate solutions that combine process, technology landscapes and business information from the core enterprise data sources that form our corporate information factory to provide end to end solutions for the business. Design, create, code, and support a variety of GCP, ETL & SQL solutions. Experience with agile techniques or methodsWork with system users, other members of the IT Department, software vendors, and service providers to resolve problemsSupport existing Data warehouses & related jobs.Task / Job Scheduling experience (Talend, Tidal, Airflow, Linux)Able to lead small projects/initiatives and contribute/lead effectively to the implementation of enterprise projects.Should have automation mindset to embrace a Continuous Improvement mentality to streamline & eliminate waste in all processes.Train and educate internal team, IT functions, and business usersFamiliarity with real time and streaming data processes 5-8+ years of relevant experience of working as Data Engineer or similar levels Hands on experience on cutting edge cloud data engineering servicesUnderstanding of SAP LandscapeData Governance Tools (Any)Basic understanding of Cyber Security requirements ~ SQL Python Data Warehousing Concepts ~ Cloud (Storage, Modelling, Real time) GCP Preferred Data Storage (S3 / Blob Storage) SQL Cloud Functions (Lambda/Azure function) Data Modelling concepts GCP Data Engineer certification, GCP certification ~ We exist to make food the world loves. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for whats next. India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. We exist to make food the world loves. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for whats next. The Enterprise Data Development team is responsible for designing & architecting solutions to integrate & transform business data into Data Warehouse to deliver data layer for the Enterprise using cutting edge cloud technologies like GCP. We integrate solutions that combine process, technology landscapes and business information from the core enterprise data sources that form our corporate information factory to provide end to end solutions for the business. Design, create, code, and support a variety of GCP, ETL & SQL solutions. Experience with agile techniques or methodsWork with system users, other members of the IT Department, software vendors, and service providers to resolve problemsSupport existing Data warehouses & related jobs.Task / Job Scheduling experience (Talend, Tidal, Airflow, Linux)Able to lead small projects/initiatives and contribute/lead effectively to the implementation of enterprise projects.Should have automation mindset to embrace a Continuous Improvement mentality to streamline & eliminate waste in all processes.Train and educate internal team, IT functions, and business usersFamiliarity with real time and streaming data processes 5-8+ years of relevant experience of working as Data Engineer or similar levels Hands on experience on cutting edge cloud data engineering servicesUnders