Associate Data Engineer
Mondelēz International (company site, opens in a new tab)2–4 yrsMumbaiOn-siteDirect career pageEst. 10–18 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement scalable, secure cloud-based data solutions and maintain data pipelines for ETL processes.
- Ensure data quality, optimize data processing and storage for optimal retrieval performance.
- Collaborate closely with analytics team leaders and stakeholders to execute analytics agenda and deliver actionable business insights.
Minimum Requirements
- 2 to 4 years of experience in data engineering with expertise in Python, PySpark, SQL, and cloud data technologies.
- Proficiency with Databricks (LDP, Lakeflow Connect, Notebooks), AWS services (S3, Lambda, EC2, Glue, Redshift), and ETL/data warehousing concepts including SCD Types, Star Schema, and dimensional modelling.
- Notice period of 0-3 months allowable as stated.
- Work Experience Required: 2 to 4 years in data engineering explicitly mentioned.
Ideal Candidate Profile
- Experienced in methodical execution of business analytics and delivery of data-driven insights to stakeholders.
- Skilled in cloud-based data engineering environments leveraging Medallion Architecture and scheduling technologies like Lakeflow Jobs or Airflow.
- Capable of collaborating with cross-functional teams including Engineering Leads, Data Product Managers, Data Modelers, and Data Analysts to meet business analytics goals.