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.