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.