Data Engineer - ETL/Python

Job Description :

Key Responsibilities :

- Design and implement scalable data pipelines using ETL/ELT frameworks.

- Develop and maintain data models and data warehouse architecture using Snowflake.

- Build and manage DBT (Data Build Tool) models for data transformation and lineage tracking.

- Write efficient and reusable Python scripts for data ingestion, transformation, and automation.

- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.

- Ensure data quality, integrity, and governance across all data platforms.

- Monitor and optimize performance of data pipelines and queries.

- Implement best practices for data engineering, including version control, testing, and CI/CD.

Required Skills and Qualifications:

- 8+ years of experience in data engineering or a related field.

- Strong expertise in Snowflake including schema design, performance tuning, and security.

- Proficiency in Python for data manipulation and automation.

- Solid understanding of data modeling concepts (star/snowflake schema, normalization, etc.

- Experience with DBT for data transformation and documentation.

- Hands-on experience with ETL/ELT tools and orchestration frameworks (e., Airflow, Prefect).

- Strong SQL skills and experience with large-scale data sets.

- Familiarity with cloud platforms (AWS, Azure, or GCP) and data services