Key Skills: Snowflake, Python, Snowflake DB

Roles and Responsibilities:

- Design and implement scalable data pipelines using ELT frameworks and orchestration patterns.

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

- Build and manage dbt models for data transformation, documentation, and lineage tracking.

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

- Monitor and optimize performance of data pipelines and Snowflake queries while enforcing data quality and governance.

Skills Required:

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

- Python for data manipulation, ingestion, and automation.

- Snowflake for schema design, performance tuning, and security.

- Scalable data pipeline and warehouse performance optimization practices.

- Data transformation and documentation using dbt, including lineage tracking.

Good to Have

- Experience with orchestration tools such as Airflow or Prefect.

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

- Robust SQL skills for large-scale datasets.

Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

📌 Data Engineer (Snowflake + Python) (Gurugram)
🏢 Careernet
📍 Gurugram