Associate Data Engineer
Mondelēz International (company site, opens in a new tab)2–4 yrsMumbaiOn-siteDirect career pageEst. 10–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable cloud-based data pipelines and solutions using AWS and Databricks technologies.
- Implement data quality and validation processes to ensure data accuracy and integrity in data lakes and warehouses.
- Collaborate closely with analytics teams and stakeholders to execute business analytics agenda and deliver data engineering solutions aligned with business needs.
Minimum Requirements
- 2 to 4 years of data engineering experience with expertise in relevant tech stack.
- Proficient in Python, PySpark, SQL, Databricks (LDP, Lakeflow Connect, Notebooks) and AWS Cloud services (S3, Lambda, EC2, Glue, Redshift).
- Familiarity with data warehousing concepts such as SCD Types, Fact & Dimension tables, and star schema modeling.
- No relocation support available; willingness to work at indicated location (implied).
Ideal Candidate Profile
- Experienced in data pipeline development and maintenance with a strong focus on scalable, secure cloud solutions using AWS and Databricks.
- Strong collaboration skills to work effectively within delivery teams and with cross-functional stakeholders including analytics leaders and product managers.
- Comfortable with implementing and optimizing data storage and processing architectures based on Medallion Architecture (Bronze/Silver/Gold layers).