Sr. Data Engineer

Job Description

• 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

• Using data analysis to make recommendations to analytic leaders
• Understanding in best-in-class analytics practices
• Knowledge of Indicators (KPIs) and scorecards
• Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus

• Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions.
• Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes.
• Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity.
• Optimize Data Processing Storage: Ensure efficient data processing of pipelines data storage for optimal retrieval performance.
• Collaborate and Innovate: Work closely with data architects, data modelers, data product managers, and stay updated with the latest cloud technologies and best practices.
• Mentoring: Guide groom associate data engineers data engineers (external/internal) to ensure timely deliverables fulfilling all data engineering guidelines standards.

• Programming: Python, PySpark, SQL
• ETL Integration: Databricks (LDP, Lakeflow Connect, Notebooks), AecorSoft/DataSphere
• Data Warehousing: SCD Types, Fact Dimensions, Star Schema, ETL
• Data Modeling: Dimensional modelling understanding, Erwin tool (Optional)
• Medallion Architecture: Bronze, Silver, Gold (Databricks Medallion Architecture)
• AWS Cloud Services: S3, Lambda, EC2, Glue, Redshift
• GenAI exposure: Genie/Kiro/Gemini etc.
• Scheduling Technologies: Lakeflow Jobs, Airflow
• Visualization (Optional): PowerBI (Optional), GenBI (Optional)

• Problem-Solving: The ability to identify and solve complex data-related challenges.
• Communication: Effective communication skills to collaborate with Engineering Leads, Data Product Managers, Data Modeler, Data Analysts, and stakeholders.
• Analytical Thinking: The capacity to analyze data and draw meaningful insights.
• Attention to Detail: Meticulousness in data preparation and pipeline development.
• Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field.

No Relocation support available Business Unit Summary At Mondel z 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 lifes 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. Job Type Regular Analytics Modelling Analytics Data Science