Data Engineer Job in Bangalore at Nestlé

Nestlé is hiring for the role of Data Engineer!

Responsibilities of the Candidate:

• Engage with Product Managers, Product Owners, Business Analysts, Data Engineers, and Architects of IT and ADI Streams to understand the data and analytics needs.
• Partner with IT Supply Chain Stream and Corporate Function, Zone and markets to understand, analyze, and translate pain points or opportunities.
• Work with external partners, to design and develop data and analytics products that deliver business value as efficiently as possible. Ensure data products delivered for the organization comply with Industry standards and are scalable and performant, using a range of On-premises and Cloud toolsets, including SAPBW with HANA and the new generation analytics platforms such as Azure, Snowflake, and Power BI.
• Design and develop data and analytics products to support both standard reporting and more advanced analytics and machine learning use cases.
• Work as the lead solution architect, collaborating with Data Engineers and Data Scientists. 
• Define data requirements, data flows, and data integration strategies to ensure seamless data access and usage across systems.
• Improve data flows, queries, and processes for optimal performance and data quality.
• Design and implement data security measures to safeguard sensitive information within Data Products.
• Ensure data products comply with data governance policies, data privacy regulations, and industry best practices.
• Maintain comprehensive documentation of Data Product designs, data models, and architecture patterns.
• Communicate technical concepts and solutions to both technical and non-technical stakeholders effectively.
• Stay updated with the latest data technologies, tools, and trends and identify opportunities for innovation and improvement in Data Product development processes.
• Provide technical leadership and mentorship to internal and external Data Engineering teams, fostering a culture of excellence and continuous improvement.
• Support Product Owners, Product Managers, and Product Group Managers through the full product lifecycle from new product initiation through to product retirement.

Requirements:

• ​​​​​​Bachelors or master’s degree in computer science, engineering, math, finance, statistics, or related discipline. 
• Most likely you will come from a data engineering background, with 10+ years’ experience spanning between building data assets and pipelines and as a Data architect or similar role to serve analytics use cases. 
• Whilst capable of performing hands-on development, you are keen to progress to leading and coaching others.   You are keen to drive the work of development teams to be able to create solutions at scale.