Key Responsibilities:

　　Partner with solution architects to evaluate, implement, and qualify new technologies especially in the Snowflake ecosystem.Design and develop highly scalable data models.Sound understanding of Data Warehousing principles and ETL concepts such as incremental loads.Familiar with anyone programming language ex: Python, JavaScript etc.Write complex SQL queries to extract data from Snowflake and perform data analysis and reporting tasks. This may include aggregations, joins, subqueries, and advanced SQL functions.Monitor Snowflake's performance, resource utilization, and data loads to identify and resolve issues. Analyze query execution plans, optimize resource allocation, and work closely with the infrastructure team.Collaborate with cross-functional teams, such as data engineers, data analysts, and business stakeholders to understand requirements, provide technical expertise, and deliver high-quality data solutions.

　　Required Qualifications:

　　Bachelor's degree or higher in STEM or a related discipline.5+ years of experience in Information Technology with experience in Data and Analytics domain.Knowledge and experience in Snowflake database is a must.Strong SQL skills with exposure to analytics and windowing functions, performance tuning and query optimizationWorking experience in Data warehousing and Data Integration areas.Strong skills in Data modelling and creating highly scalable data marts.Experience building data pipelines and working on Data migration projects.

　　Preferred Qualifications:

　　Snowpro or advanced Snowflake certification.Knowledge of RBAC, secure views and other data segregation techniques.Excellent documentation and interpersonal relationship skills.Knowledge of orchestration tools like Airflow, control-M etc.Knowledge in CI/CD pipeline, Gitlab, Jenkins etc.Knowledge in AWS Glue, IICS, HVR etc.Experience with Snowflake concepts such as travel, secure views, streams, tasksKnowledge and experience in Realtime technologies is a plus.