Data Engineer

Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How you will contribute You will:  Execute the business analytics agenda in conjunction with analytics team leaders Work with best-in-class external partners who leverage analytics tools and processes Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data analysis to make recommendations to analytic leaders Understanding in best-in-class analytics practices Knowledge of Indicators (KPI's) and scorecards Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus More about this role What you need to know about this position: Looking for a savvy Data Engineer to join   team   of Modeling / Architect experts. The hire will   be responsible for   expanding and   optimizing   our data and data pipeline architecture, as well as   optimizing   data flow and collection for cross functional teams.    The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys   optimizing   data systems and building them from the ground up.    The Data Engineer will support our software developers, database architects, data   analysts   and data scientists on data initiatives and will ensure   optimal   data delivery architecture is consistent throughout ongoing projects.    They must be self-directed and comfortable supporting the data needs of multiple teams,   systems   and products. The right candidate will be excited by the prospect of   optimizing   or even re-designing our Education / Certifications: 5 + years of overall industry experience and   minimum of   4-6 years of experience in building and deploying large scale data processing pipelines in a production environment.  Science or Engineering Degree with master’s in computer science (desirable)   A   master’s   in computer science, Computer, Electrical   Engineering   or a related field.   S elf-reflective, has a hunger to improve, has a keen interest   to drive   their own learning.   Applies   theoretical knowledge to practice   Ability to w ork with stakeholders including the Executive, Product, Data and Design teams to   assist   with data-related technical issues   Ability to think creatively,   plan   and prioritize work in a fast-paced environment.   Experience working with Google Cloud Platform ( Big Query ,   GCS,   Cloud Function, Composer   etc. )   or   Microsoft   Azure (ADF, Azure Data   L ake   Gen2 , Databricks , SQL Server   etc. )   GCP Professional Data Engineer certification / Azure Data Engineering Certification   (desirable)   Having Experience of business domains like FMCG/ CPG /Retail /Supply Chain will be   added advantage .   Job specific requirements: ​ ​ Mu st have ​   Data   engineering   Concepts :   Experience in working with data lake, data warehouse, data   mart   and Implemented ETL/ELT and SCD concepts.   Analytics:   Fluent with SQL, PL/SQL and have used   any of the   analytics tools like Big Query,   DataBricks   etc. for data analytics   Data sources :   Experience of   working with structure data sources like SAP, BW, Flat Files,   RDBMS   etc.   and   semi structured data sources like PDF, JSON,   XML   etc.   Programming:   Understanding of   OOPs concepts and   strong   hands-on   experience with   Python for programming and scripting.   Cloud Platform:   GCP , GKE, Composer-3 (Managed Airflow)