Associate Data Engineer
Mondelēz International (company site, opens in a new tab)2–4 yrsMumbaiOn-siteDirect career pageEst. 8–14 LPA
Posted 1d ago
Reach people at Mondelēz International
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Mondelēz International you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and build scalable, secure cloud-based data solutions, including data pipelines for ETL into warehouses or lakes.
- Ensure data quality, validation, and optimized processing/storage for maximum performance.
- Collaborate closely with data teams and stakeholders to deliver analytics-driven business insights and adhere to data engineering standards.
Minimum Requirements
- 2 to 4 years of data engineering experience with relevant tech stack expertise.
- Proficiency in Python, PySpark, SQL, Databricks, and AWS Cloud Services (S3, Lambda, EC2, Glue, Redshift).
- Experience with ETL processes, data modeling (dimensional modeling, star schema), and Medallion Architecture.
- No relocation support; all candidates considered on current location basis.
Ideal Candidate Profile
- Experienced in applying best-in-class analytics and data engineering practices to drive business insights.
- Skilled in managing end-to-end data pipelines and ensuring data integrity in cloud environments.
- Able to work methodically within collaborative delivery teams to meet deadlines and maintain standards.