Data Engineer
Mondelez International14 days ago
Mumbai, IndiaMid Level / Senior
Responsibilities
- Design and implement scalable, secure, and cost-effective cloud-based data solutions.
- Develop and maintain pipelines that extract, transform, and load data into data warehouses and data lakes.
- Implement data-quality and validation processes to maintain data accuracy and integrity.
- Optimize data processing, storage, and retrieval performance.
- Apply dimensional modeling, fact and dimensions, star schema, SCD types, and medallion architecture concepts.
- Coordinate with delivery teams and stakeholders to complete deliverables according to data engineering standards.
- Stay current with cloud technologies and data engineering best practices.
Requirements
- Require 3 to 7 years of data engineering experience with strong expertise in the required technology stack.
- Require programming experience with Python, PySpark, and SQL.
- Require experience with Databricks, ETL and integration, data warehousing, data modeling, AWS cloud services, and scheduling technologies.
- Knowledge of Tableau, Excel, Alteryx, R, Python, Power BI, or GenBI is listed as beneficial where applicable.
- Understanding of KPIs, scorecards, analytics practices, problem-solving, communication, analytical thinking, attention to detail, and adaptability is expected.
Benefits
- Regular full-time role with a permitted notice period of 0 to 3 months.
- No relocation support is available.
About Mondelez International
Mondelez International (NASDAQ: MDLZ) manufactures and markets snack foods—including Oreo and belVita biscuits; Cadbury, Milka and Toblerone chocolates; Trident gum; and Sour Patch Kids candy—to consumers worldwide through retail and e‑commerce channels. Formed in 2012 via the spin-off of Kraft Foods’ global snacks business, it is headquartered in the Chicago area. The company operates in more than 150 countries with a portfolio spanning biscuits, chocolate, gum, and candy.