Software Engineer

Role : Mid-Level Snowflake Developer

Experience:

About the Role:

We are looking for a skilled Mid-Level Snowflake Developer to join our dynamic data engineering team. The ideal candidate will have hands-on experience with Snowflake, data warehousing concepts, and ETL/ELT processes to design, build, and maintain scalable data pipelines and solutions.

Key Responsibilities:

• Develop, optimize, and maintain Snowflake data warehouse solutions to support business intelligence and analytics.
• Design and implement data models, schemas, and database objects (tables, views, stages, file formats).
• Build and manage ETL/ELT pipelines using Snowflake-native tools or third-party tools (e.g., dbt, Apache Airflow, Informatica).
• Write efficient SQL queries, stored procedures, and scripts to transform and load data.
• Work closely with data analysts, data scientists, and business stakeholders to understand requirements and deliver data solutions.
• Monitor and troubleshoot Snowflake performance issues, optimize queries, and manage cost control strategies.
• Implement best practices for data security, governance, and compliance within Snowflake.
• Collaborate with DevOps teams to automate deployments and manage CI/CD pipelines.
• Document data warehouse architecture, processes, and workflows.

Required Skills & Qualifications:

• Bachelors degree in Computer Science, Information Technology, or a related field.
• 4-6 years of experience in data warehousing and ETL development.
• Strong hands-on experience with Snowflake data platform (warehousing, SnowSQL, Snowpipe, Streams & Tasks).
• Proficiency in SQL and scripting languages (Python, Shell, or similar).
• Experience with ETL/ELT tools and data pipeline orchestration.
• Understanding of cloud platforms (AWS, Azure, or GCP) and their integration with Snowflake.
• Knowledge of data modeling techniques (star schema, snowflake schema).
• Familiarity with BI tools like Tableau, Power BI, or Looker is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work in a collaborative environment.

Preferred Skills:

• Experience with version control systems (Git).
• Exposure to DevOps practices and CI/CD pipelines.
• Familiarity with data governance and compliance standards (GDPR, HIPAA).
• Experience with data lake technologies and integration (e.g., AWS S3, Azure Data Lake).