Offer summary

Qualifications:

Minimum 7+ years of experience in data engineering or related fields., Strong SQL skills and experience with NoSQL databases., Proficiency in Python programming., Experience with cloud data warehousing, data lakes, and cloud data services..

Key responsibilities:

Design and build robust data pipelines using orchestration tools like Airflow.

Manage and optimize data models and ETL/ELT processes.

Handle large volumes of structured and unstructured data.

Collaborate on preparing data for machine learning and Generative AI applications.

Job description

Experience Range: Minimum 7+ years experience required in desire technologies.

Data Engineering (Mandatory): Strong SQL skills; experience with NoSQL databases; proven ability to design and build robust data pipelines using orchestration tools (e.g., Airflow, cloud-native services); experience with data modeling, ETL/ELT processes; experience handling large volumes of structured and unstructured data.

Programming (Mandatory): Proficiency in Python.

Cloud (Mandatory): Experience with cloud data warehousing, data lakes, and relevant cloud data services (storage, databases, processing).

Desired: Experience specifically preparing data for ML/GenAI use cases; familiarity with data governance and quality frameworks.

Required profile