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Data Engineer IBS MSC

Location: Anywhere in India, Experience: 4 years - 8 years
Posted On: 25-Feb-2021 | Last Date to Apply: 15-Mar-2021 | No: of Vacancies : 1

Company Profile:

Mondelez International, Inc. empowers people to snack right in over 150 countries around the world. We’re leading the future of snacking with iconic brands such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. Our 80,000+ colleagues around the world are key to the success of our business. Great people and great brands. That’s who we are. Join us on our mission to continue leading the future of snacking around the world by offering the right snack, for the right moment, made the right way.

Job description:

• Lead acquisition and structuring of MSC data and partner with other functions to source data to deliver data to CAT (Central analytics team) for insights and reporting • Work with analysts and scientists to define complex technical challenges to be solved • Use appropriate software tools and programming methods to harness data. Improve data quality, reliability and efficiency to enable high performance solutions. • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, GCP and SQL technologies • Partner with D&A data experts and business data SMEs to unlock data engineering challenges • Provide data structuring inputs to the MSC data foundation team • Identify internal process improvements to data architecture team to enable re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes • Work with stakeholders including data, design, product and executive teams and assisting them with datarelated technical issues • Communicate data availability and challenges and engage with stakeholders • Write and build best practice documentation and actively strives to change traditional ways of working within MSC • Research and keep up to date with developments in data engineering techniques

Key Qualifications




Additional Requirements

Knowledge of building data infrastructure Knowledge of system specific codes / programming techniques Strong IT systems understand including systems connectivity Knowledge of data mining techniques e.g. AI, machine learning, Project Management



Gender Preference:


Job Type:

Full Time

Diversity Tags:

Not Applicable