Snowflake Data Engineer

What awaits you/ Job Profile

• Design, build, and manage scalable data solutions on the Snowflake platform.
• Work with Snowflake data structures, focusing on performance tuning, query optimization, and efficient resource usage.
• Support data migration and integration across cloud-based data platforms.
• Optimize system performance and cost by improving data pipelines and warehouse usage.
• Manage and maintain secure data environments using proper access control and governance practices.
• Work across multiple environments, ensuring smooth deployments and consistency.
• Collaborate with teams to ensure reliable, high-performance data solutions that meet business needs.
• Mentor and guide junior developers, conduct code reviews, and enforce best practices.
• Understanding deployment processes and system operations.
• Incident handling and environment stability.
• Coordination with external operations teams.
• Support in decommissioning, migration, and environment readiness.

What should you bring along

• Strong problem-solving mindset with attention to detail.
• Understanding data lifecycle, integration patterns, and best practices.
• Proactive approach to identifying issues and improving data processes.
• Excellent communication and collaboration skills.
• Domain background in Financial Services/banking.
• Good understanding of Data Quality processes, methods and project lifecycle.

Must have technical skill

• Expertise with Snowflake tools such as Snow SQL, Snow pipe, and ETL data pipelines.
• Experience in migrating data from RDBMS to Snowflake cloud data warehouse.
• Ability to develop, test, and deploy scalable ETL/ELT pipelines on Snowflake.
• Experience managing Snowflake objects like tables, views, stages, streams, and tasks with focus on performance and cost optimization.
• Experience monitoring, troubleshooting, and optimizing Snowflake workloads and DBT models.
• Knowledge of Snowflake features like data sharing, event-based processing, and Lakehouse architecture.
• Understanding of data security, access control, and data governance in Snowflake.
• Experience validating ETL processes and writing SQL queries for data verification.
• Strong knowledge of data warehousing (DWH/ODS), ETL concepts, and data modelling principles.
• Experience with other cloud platforms such as Azure or AWS.

Good to have skills

• Familiarity with data warehousing concepts and modern architectures (Lakehouse, data lakes).
• Knowledge of ETL/ELT tools or frameworks (DBT, Informatica, Azure Data Factory, etc.).
• Basic understanding of data security, compliance, and governance practices.
• Experience with monitoring and logging tools for performance tracking.
• Exposure to scripting languages like Python for automation.