We are seeking an experienced Snowflake Developer to design, develop, and optimize scalable data solutions on modern cloud data platforms. The ideal candidate will have strong expertise in Snowflake, cloud ecosystems, data engineering practices, and building efficient data pipelines for analytics and business intelligence.

Key Responsibilities :

- Design, develop, and maintain scalable data solutions using Snowflake.

- Build and optimize ETL/ELT pipelines for structured and semi-structured data.

- Work with cloud platforms (AWS / Azure / GCP) to implement data engineering solutions.

- Develop and optimize complex SQL queries for performance and scalability.

- Design and implement data warehouse models (Star and Snowflake schemas).

- Collaborate with cross-functional teams to understand data requirements and deliver solutions.

- Implement data pipeline automation and orchestration workflows.

- Ensure data quality, reliability, and governance across pipelines.

- Optimize query performance and troubleshoot data processing issues.

- Use Git for version control and collaborative development.

Required Skills :

- Strong hands-on experience in Snowflake.

- Solid understanding of Cloud Platforms (AWS / Azure / GCP).

- Strong programming skills in Python.

- Expertise in SQL (advanced level).

- Experience with ETL/ELT tools and data pipeline design.

- Knowledge of :

1. Data Warehousing concepts.

2. Star & Snowflake schema.

- Experience with version control (Git).

- Good understanding of performance tuning and query optimization.

Preferred Skills :

- Experience with Apache Airflow / Azure Data Factory / dbt.

- Exposure to Data Lake architecture.

- Knowledge of AI/ML data pipelines.

- Experience in real-time data processing (Kafka, Spark).

- Familiarity with DevOps & CI/CD pipelines.

Qualifications :

- Bachelors/Masters degree in Computer Science, IT, or related field.

- 8+ years of experience in Data Engineering / Snowflake development.