mCaffeine - Data Analytics Engineer - Python/SQL/ETL (2-5 yrs)

About us/Company overview:

mCaffeine is Indias 1st? caffeinated personal care brand with an exciting range of Caffeinated products for young and aspiring digital natives. We believe in Confidence over all skin & body biases. Redefining the old notions of beauty associated with colour, we never sell insecurities. We have vowed not to make fairness products. At mCaffeine beauty has no colour or gender. It's about you. You are a revolution, a culture, a routine, a high, and essentially now a lifestyle. You are Bold, Young and Confident. Come, join the pack!

Job Responsibilities :

- Develops and maintains scalable data pipelines and builds out new API integration to support continuing increases in data volume and complexity.

- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility.

- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Qualifications and Experience Requirements :

- 2+ years in data engineering

- 2+ years of experience working with AWS Console (RDS, EC2, Lambda functions)

- 1+ years of SQL experience (MySQL experience is a plus)

- 1+ years of Python experience

- Experience with data warehousing, data modelling and ETL

- Experience in PowerBI is PLUS