Associate Data Engineer
Mondelēz International (company site, opens in a new tab)2–4 yrsMumbaiOn-siteDirect career pageEst. 8–14 LPA
Posted 15h 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, develop, and implement scalable cloud-based data solutions including data pipelines and warehouses/lakes.
- Ensure data quality and optimize data processing and storage for efficient retrieval and long-term business performance.
- Collaborate closely with analytics teams and stakeholders to deliver on the business analytics agenda using data models, algorithms, and established analytics tools.
Minimum Requirements
- 2 to 4 years of experience in data engineering with expertise in programming languages like Python, PySpark, and SQL.
- Experience with ETL & integration tools such as Databricks, AecorSoft/DataSphere, and familiarity with Medallion Architecture.
- Knowledge of AWS Cloud Services including S3, Lambda, EC2, Glue, and Redshift.
- Notice Period: 0-3 months allowed.
Ideal Candidate Profile
- Experienced in managing data pipelines and implementing data quality processes within cloud environments.
- Skilled in dimensional data modeling and data warehousing concepts such as SCD types, star schema, and fact/dimension tables.
- Able to collaborate effectively with cross-functional teams including engineering leads, data product managers, and analysts.