The Data Engineer is an expert in SQL development support to the data and analytics IT experts in database design, data flow and data analysis activities. The Data Engineer plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing.
The Data Engineer defines and builds the data pipelines that will enable faster, better, data-informed decision-making within the business.
Deep experience in developing enterprise data management strategies including operational data stores, data warehouse implementations, data movement, data services, data acquisition, data conversion, and archive/recovery.
Accountabilities:
Work together with the Solution- and Data Architect to design the next generation big data platform to support the digital marketing platform.
Design and implement a new big data solution which supports high amounts- and velocity of data, supports future growth, use latest big data technologies/techniques, is cloud supported and in-line with Shell's strategies.
Design and implement modern data pipelines to extract, clean and process data in batch and real-time from different data sources.
Use the latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources.
Help establish best practices around data governance, data security- and privacy (GDPR).
Work together with the solution- and data architect to the define the target data strategy.
Drives and applies Agile Framework within his/her operating environment. Will take direct reports, when applicable, through Agile Framework and its respective tools.

Keyskills: python azure data bricks azure data factory pyspark
L&T Infotech is a wholly-owned subsidiary of the USD 14 billion plus Larsen & Toubro, India’s Engineering, Technology, Construction and Financial Services powerhouse, ranked 4th in the global list of Green Companies in the industrial sector by Newsweek. L&T Infotech is a leading global IT...