What you'll do :

• Solve complex data driven problems using the state-of-the-art AI/ML models 
• Conceptualising and executing clear, quality code to develop the best software.
• Demonstrate expertise in Snowflake data modeling and ELT using Snowflake SQL.
• Implement complex stored procedures and best practices with data warehouse and ETL concepts.
• Deploy fully operational data warehouse solutions into production on Snowflake.
• Test the codes, identify errors, and iterate to ensure quality code.
• Support our customers and partners by troubleshooting any of their software issues.  
• SQL expertise: Have detailed expertise in SQL databases and many programming languages
• Data modeling: Have a strong understanding of data modeling and database design
• ETL pipelines: Implement ETL pipelines inside and outside data warehouses, and schedule, monitor, and ensure they run without issues
• Business intelligence: Transform raw data into meaningful insights through the creation of dashboards and reports
• Analytical and problem-solving skills: Have strong analytical and problem-solving skills, and be a fast learner
• Data quality issues: Be able to troubleshoot data quality issues
• ETL process knowledge: Have knowledge of the extract, transform, load (ETL) process

What makes you a great fit :

• 2+ years of experience implementing data management solutions
• Strong experience in Snowflake, AWS, and SQL is must. 
• Experience in complex data transformation in DBT.
• Experienced with Snowflake DWH/ELT implementation, and Python/Java Scripts.
• Hands-on work on most common transformations like lookup, fuzzy, conditional splits, etc., checkpointing, logging, etc.
• Experience with data validation, data cleansing, and data reconciliation process.