Snowflake Data Engineer

Position: SnapLogic Developer

Experience: 5+ Years

Location: Remote

Budget: ₹30-35 LPA

Availability to Join: On or before 30th January

Key Responsibilities:

• Design, develop, and manage robust data integration workflows using SnapLogic.
• Work extensively with Snowflake to manage and optimize data pipelines and warehouse operations.
• Write efficient SQL queries to process, transform, and analyze large datasets.
• Leverage Python for scripting, data processing, and automation tasks as required.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Troubleshoot and optimize existing workflows for better performance and scalability.
• Ensure data security, integrity, and compliance with best practices.

Required Skills and Qualifications:

• SnapLogic Expertise: Hands-on experience in developing and managing SnapLogic pipelines.
• Snowflake Knowledge: Strong proficiency in working with Snowflake databases.
• SQL Proficiency: Advanced SQL skills for complex queries and transformations.
• Python Skills: Experience in scripting and automation using Python.
• 5+ years of experience in data integration, ETL, and related fields.
• Strong problem-solving skills and the ability to work independently in a remote environment.

Preferred Skills:

• Knowledge of data modeling and database optimization techniques.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with DevOps practices and CI/CD pipelines.