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Snowflake Data Modeler
2 months ago
We are seeking a highly skilled Data Warehouse Analyst to join our Investment Data Platform team at FIS Global. As a key member of our team, you will be responsible for designing, developing, and maintaining cost-effective and high-performance data models, data architecture, and data integration pipelines in Snowflake.
Key Responsibilities- Plan, design, develop, and maintain data models, data architecture, and data integration pipelines in Snowflake, following best practices and standards of data warehousing concepts.
- Develop complex SQL queries, performance tuning, and stored procedures/functions.
- Perform ELT/ETL development involving complex data transformation, pivot tables, and complex calculators.
- Exposure to DBT, Airflow, Astronomer, and Qlik.
- Experience with Python programming language.
- Exposure to Agile development methodology and a great team player in scrum teams.
- Experience delivering and supporting a Snowflake-based data warehouse application in production is a plus.
- Assist the Investment Data Platform team in building various Data Marts sourced from Data Lakes.
- Familiarity with multiple cloud platforms is a plus, as source data could originate from AWS, Azure, or FIS cloud environments.
- Thoroughly test all programming work and any changes introduced to the Production environment, ensuring Data Quality.
- Coordinate with Product Managers/QA and perform integration testing as needed.
- Provide production support by resolving technical or functional issues, in line with the procedures defined by FIS.
- Provide advice and guidance on data movement across platforms and environments.
- Create relevant documents around database objects and all development activities.
- Implement innovative changes that improve data flow and bring efficiency.
- Experienced in Snowflake - Snowpark, SnowSQL, Database, and Datawarehouse concepts.
- Extensive experience with complex SQL queries, performance tuning, and stored procedures/functions.
- Perform ELT/ETL development involving complex data transformation, pivot tables, and complex calculators.
- Exposure to DBT, Airflow, Astronomer, and Qlik.
- Experience with Python programming language.
- Exposure to Agile development methodology and a great team player in scrum teams.
- Experience delivering and supporting a Snowflake-based data warehouse application in production is a plus.
- Assist the Investment Data Platform team in building various Data Marts sourced from Data Lakes.
- Familiarity with multiple cloud platforms is a plus, as source data could originate from AWS, Azure, or FIS cloud environments.
- Thoroughly test all programming work and any changes introduced to the Production environment, ensuring Data Quality.
- Coordinate with Product Managers/QA and perform integration testing as needed.
- Provide production support by resolving technical or functional issues, in line with the procedures defined by FIS.
- Provide advice and guidance on data movement across platforms and environments.
- Create relevant documents around database objects and all development activities.
- Implement innovative changes that improve data flow and bring efficiency.
- A career at FIS is more than just a job. It's the chance to shape the future of fintech.
- Always-on learning and development.
- Collaborative work environment.
- Opportunities to give back.
- Competitive salary and benefits.
FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $89, $149,820.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location.
