Sr. Data Engineer
Mondelēz International (company site, opens in a new tab)6–10 yrsMumbaiOn-siteDirect career pageEst. 20–35 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and build scalable, secure, and cost-effective cloud-based data solutions focused on data pipelines and quality validation.
- Develop and maintain ETL pipelines to load data into warehouses or lakes ensuring data accuracy and optimal retrieval performance.
- Collaborate closely with data teams and stakeholders while mentoring junior data engineers to meet data engineering standards and deliverables.
Minimum Requirements
- 6 to 10 years of data engineering experience with expertise in specified tech stack.
- Proficiency in Python, PySpark, and SQL; experience with Databricks, AWS services (S3, Lambda, EC2, Glue, Redshift).
- Strong knowledge of data warehousing concepts (SCDs, star schema) and data modeling; familiarity with Medallion Architecture.
- Work Experience Required: 6 to 10 years; No relocation support available (implying possible onsite or location constraint).
Ideal Candidate Profile
- Experienced professional adept at building cloud-based data infrastructure leveraging Databricks and AWS technologies.
- Able to lead and mentor associate data engineers ensuring adherence to data engineering standards.
- Comfortable working in cross-functional teams with data architects, product managers, and analysts while keeping up-to-date on latest cloud and data technologies.