Data Engineer

Overview

Data COE Data Engineer role to design and build scalable, secure, cost-effective cloud-based data solutions, developing data pipelines and ensuring data quality within Mondelēz International's analytics function.

What you'll do

• Design and build scalable, secure, and cost-effective cloud-based data solutions.
• Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes.
• Implement data quality and validation processes to ensure data accuracy and integrity.
• Ensure efficient data processing of pipelines and data storage for optimal retrieval performance.
• Be an integral part of the delivery team, coordinating closely within the assigned team to complete deliverables that meet data engineering guidelines and standards.
• 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 and algorithms to uncover signals, patterns and trends that 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'll need

• Data engineering experience of 3 to 7 years with good expertise in the required tech stack.
• Programming: Python, PySpark, SQL.
• ETL and integration: Databricks (LDP, Lakeflow Connect, Notebooks), AecorSoft/DataSphere.
• Data warehousing: SCD Types, Fact and Dimensions, Star Schema.
• Dimensional modelling understanding.
• Medallion architecture: Bronze, Silver, Gold (Databricks Medallion Architecture).
• AWS cloud services: S3, Lambda, EC2, Glue, Redshift.
• Scheduling technologies: Lakeflow Jobs, Airflow.
• Using data analysis to make recommendations to analytic leaders.
• Understanding of best-in-class analytics practices.
• Knowledge of KPIs and scorecards.
• Soft skills: problem-solving, communication, analytical thinking, attention to detail, adaptability.

Nice to have

• Knowledge of BI tools such as Tableau, Excel, Alteryx, R, Python, etc.
• Erwin tool for data modelling.
• GenAI exposure: Genie/Kiro/Gemini etc.
• Visualization: PowerBI, GenBI.

Details

• Location: Mumbai, India.
• Notice period: 0-3 months allowed.
• No relocation support available.
• Job type: Regular.