Data Engineer - Snowflake

As the Snowflake Developer, you will work with the development team to create technical designs, write code, and unit test new features. You will also be responsible for enterprise ETL jobs.

Responsibilities:

• 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

Qualifications:

• 2+ years of experience implementing data management solutions
  
• Strong experience in Snowflake, AWS, and SQL is mandatory.
• 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.