Data Engineer - ETL/Python

Responsibilities:

- Design, build, and optimize scalable data pipelines and ETL processes.

- Develop and maintain data models, data marts, analytical datasets, and perform data analysis (EDA).

- Create ML models as required.

- Automate data workflows.

- Work with cloud platforms - Azure, AWS, or GCP.

Requirements:

- 8 - 12 years of experience in data engineering, data science, or related domains.

- Proficiency in SQL, Python, distributed data systems, cloud data platforms, and data warehousing platforms.

- Knowledge of ML, DevOps, and CI/CD.

Tech Stack:

- Python, SQL, AWS/Azure/GCP, Spark, DevOps, CI/CD, Orchestration, Containerization, Data Warehousing.