Data Engineer

Job Description 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) Orchestration: Experience in orchestrating /scheduling data pipelines using any of the tools like Airflow, Alteryx, Azure Data Factory ​ ​ Nice to have ​ Visualization : Exposure of reporting tools like Tableau, Looker and PowerBI . API : Experience in implementing solutions involving REST APIs, Graph QL etc. DevOps: Worked with framework involving CI-CD pipelines, like Jenkins and Git setup. Should have understanding about Identity and Access Management (IAM) from cloud standpoint. Data Quality: Exposure of all the phases of testing, data validation and data reconciliation. Have Built analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science