We are looking for a skilled Snowflake Developer to join our data engineering team.

The ideal candidate will have strong expertise in SQL, ETL processes, and Snowflake on AWS.

You will be responsible for developing, optimizing, and maintaining scalable data pipelines and data models to support business intelligence and analytics initiatives.

Key Responsibilities :

- Design, develop, and optimize ETL pipelines for ingesting and transforming large-scale data sets into Snowflake.

- Write efficient and complex SQL queries, stored procedures, and scripts for data validation and transformation.

- Integrate data from multiple sources using modern ETL frameworks and tools.

- Manage and maintain Snowflake environments, including performance tuning, security, and cost optimization.

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

- Ensure data accuracy, integrity, and availability for downstream analytical and reporting systems.

- Work with AWS services (S3, Lambda, Glue, Redshift, etc.) for data ingestion, transformation, and orchestration.

- Troubleshoot data issues, perform root cause analysis, and implement long-term fixes.

Required Skills & Experience :

- 46 years of experience in Data Engineering or related roles.

- Strong hands-on experience in SQL (Mandatory) complex query writing, optimization, and performance tuning.

- Solid experience with Snowflake data modeling, schema design, query performance tuning, and security management.

- Proficiency in ETL tools and processes for building and automating data pipelines.

- Experience with AWS cloud services, particularly S3, Glue, Lambda, and Redshift.

- Good understanding of data warehousing concepts, data governance, and best practices.

- Strong analytical and problem-solving skills with attention to detail.

Nice to Have :

- Experience with Python or PySpark for ETL scripting.

- Knowledge of CI/CD pipelines and version control (Git, Jenkins).

- Familiarity with data visualization tools (e.g., Power BI, Tableau).

Why Join Us :

- Opportunity to work on enterprise-grade data solutions.

- Collaborative and growth-oriented environment.

- Exposure to modern cloud data technologies and architecture.