Data Engineering – Snowflake -Staff
Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.
Key Skillset (Must Have)
- Hands-on experience in expertise in developing, and implementing data solutions, data warehouse using Snowflake
- Implement data integration solutions using Snowflake, including data ingestion from various sources.
- Experience on Snowpipe or Azure Data Factory or any other ETL
- Strong database programming/ backend development experience, writing complex queries, stored procedures, views, triggers, cursors, UDFs.
- Develops, maintains, and optimizes all data layer components for new and existing systems, including databases, stored procedures, ETL packages, and SQL queries
- Experience on Azure data platform offerings.
- Interacts with application developers from various core systems to address changes in those systems and their impact on existing SQL databases
- Defines data solutions for business problems by working directly with project managers, seniors and clients
- Ability to effectively communicate with other senior leaders of IT on program strategies and plans and negotiate quality solutions
Secondary Skillset (Good to Have)
- Azure SQL, Azur Datafactory
- Databricks
- Python or Pyspark
- Any NoSQL Database
Qualification & Experience Required
- Strong verbal and written communications skills
- Ability to work as an individual contributor.
- 2+ years of combined experience using Azure SQL or any other databases building database applications
- Experience on Snowpipe or Azure Data Factory or SSIS or any other ETL tools
- Exposure to visual analytics tool (Power BI) would be good to have but not mandatory