Snowflake Data Engineer

Role & responsibilities Collaborate with DW/BI leads to understand new ETL pipeline development requirements Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges. Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler (UC4 and Airflow) Preferred candidate profile Bachelor's and/or masters degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. Should have experience at least in 1 end to end implementation of Snowflake cloud data warehouse and 2 End to end data warehouse implementations on-premise. Expertise in Snowflake data modelling, ELT using SQL, implementing stored Procedures and standard DWH and ETL concepts Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe Experience in Data Migration from RDBMS to Snowflake cloud data warehouse Deep understanding of Star and Snowflake dimensional modelling Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Certified in Snowflake (SnowPro Core) (Desirable). Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills. Strong analytical and problem-solving skills with a high attention to detail. Self-motivated, collaborative, innovative, eager to learn, and hands on